High-throughput diagnostic testing using arrays

ABSTRACT

The present invention relates to arrays comprising between 2 and 12.000 nucleic acid molecules, comprising a first set of nucleic acid molecules that comprise a nucleotide sequence that is able to hybridize to a gene that is used for normalization. The array may further comprise a second set of nucleic acid molecules that comprise nucleic acid sequences capable of hybridizing to nucleic acid molecules that are expressed in clinical relevant samples such as, for example, breast tissue. The invention further relates to a method for normalizing data. Further provided are methods of using an array according to the invention for distinguishing clinical samples.

The invention relates to an array comprising nucleic acid molecules that are able to hybridize to at least two of the genes listed in Table 1, a method for normalizing data obtained with the array, production and use of the array, a method for classifying a cancer patient comprising the use of the array, a method for assigning treatment to a cancer patient comprising the use of the array, and a method for storing a tumor sample.

Microarray analysis is a widely used technology for studying gene expression on a global scale. Various studies have shown that microarray analysis results in improved diagnosis and risk stratification in many tumors [1-12]. More specifically, in human breast cancer, molecular profiles have identified subtypes [3,8], and prognostic subgroups that are relevant to patient management [4,6,13,14], and may add to the prediction of therapy response [15-18].

One study involved the discovery of a profile associated with the risk of early development of distant metastasis in young patients with lymph-node negative breast cancer [6]. The development of distant metastases is the primary cause of death in breast cancer patients; approximately one third of women with lymph node negative breast cancer will develop distant metastasis.

The risk profile was generated using an array comprising approximately 25.000 individual nucleic acid molecules or probes. This high number allowed global normalization of the hybridization data on the assumption that the mean of intensity of hybridization signals obtained from different samples is constant.

The present invention provides an array comprising between two, preferably five, and about 12,000 nucleic acid molecules. The limited number of nucleic acid molecules does not allow global normalization of the hybridization data.

Therefore, the invention provides an array, comprising between 2, preferably five, and 12.000 nucleic acid molecules comprising a first set of nucleic acid molecules wherein each nucleic acid molecule of said first set comprises a nucleotide sequence that is able to hybridize to a different gene selected from the genes listed in Table 1.

An array according to the invention comprises only a limited number of genetic markers belonging to a second set of molecules. These genetic markers can be used for e.g. diagnosing stages of a disease or the presences or developmental stage of a tumor. These genetic markers are included on the array because of their differential expression between samples. However, their inclusion in normalization protocols will lead to a bias in the data generated because of their differential expression.

Therefore, the first set of molecules on an array according to the invention comprises nucleotide sequences that are able to hybridize to at least two of the genes listed in Table 1. The genes listed in Table 1 were selected because their RNA expression level was constant between different samples. The constant level of expression allows their use for normalization of hybridization data obtained with arrays comprising between 2 and 12.000 nucleic acid molecules. An array according to the invention furthermore reduces the sample RNA input for labeling and hybridization, and reduces the data processing time. Therefore, an array according to the invention can be used for clinical practice allowing high throughput processing of many samples on a routine basis.

The first set comprises preferably at least about 5 molecules, more preferred at least 10 molecules, more preferred about 50 molecules, more preferably about 100 molecules, more preferred about 200 molecules, more preferably a minimum of 300 molecules, more preferred about 400 molecules, more preferably about 500 molecules, more preferred about 600 molecules, more preferably about 700 molecules, more preferred about 800 molecules, more preferably about 900 molecules, or more preferably about 915 molecules.

Therefore, in a preferred embodiment, the invention relates to an array, comprising between 2, preferably 5, and 12.000 nucleic acid molecules, wherein the first set of molecules comprises at least five, more preferred at least ten, more preferred at least twenty, more preferred at least fifty nucleic acid molecules that are able to hybridize to different genes listed in Table 1.

In a further preferred embodiment, the invention relates to an array wherein the first set of molecules comprises at least 465 nucleic acid molecules that are able to hybridize to different genes listed in Table 1.

In yet a further preferred embodiment, the invention relates to an array wherein the first set of molecules comprises at least 915 nucleic acid molecules that are able to hybridize to different genes listed in Table 1.

It is further preferred that genes used for normalization are rank-ordered according to the differences observed in level of expression for these genes in different samples. These differences are reflected by the statistical dispersion or spread of the values representing the determined expression level. A factor quantifying the statistical dispersion of the determined levels of expression, such as, for example, the standard deviation, can be used to rank-order the normalization genes. Therefore, the genes numbered 1-465 as listed in Table 1 were rank-ordered whereby the gene with the lowest standard deviation was put at position 1 (rank-ordered positions are provided in column entitled “STD order” of Table 1).

In a preferred embodiment, therefore, an array of the invention comprises at least five nucleic acid molecules that are able to hybridize to genes listed in Table 1 which have the lowest standard deviation and are rank-ordered 1-5.

A further preferred array of the invention comprises at least ten nucleic acid molecules that are able to hybridize to genes listed in Table 1 which have the lowest standard deviation and are rank-ordered 1-10, more preferred at least fifty nucleic acid molecules that are able to hybridize to genes listed in Table 1 which have the lowest standard deviation and are rank-ordered 1-50; most preferred at least 465 nucleic acid molecules that are able to hybridize to genes listed in Table 1 which have the lowest standard deviation and are rank-ordered 1-465.

The first set of molecules may be present in multiple copies on an array of the invention. In a preferred embodiment, the molecules comprising nucleotide sequences that are able to hybridize to at least two of the genes listed in Table 1, are present in duplicate, in triplicate, in quadruplicate, in quintuplicate, or in sextuplicate on an array of the invention.

The genes listed in Table 1 were identified as being non-differentially expressed. The hybridization data obtained with the at least 2 genes from Table 1 can therefore be used for normalization using, for example, the non-linear (LOWESS) method of curve fitting to correct for dye bias. Normalization methods correct for systemic bias such as dye bias by transforming the log10 ratios of the intensities of signals obtained with differentially labeled expression products of a gene in a sample to approximately zero.

The genes listed in Table 1 comprise genes of which the translation products are involved in metabolism and signal transduction, and comprise genes encoding proteins involved in primary and cellular metabolism and control of metabolism, G-protein-couples receptors, and protein-binding and DNA-binding proteins.

In a preferred embodiment, the first set of molecules on the array comprises nucleotide sequences that are able to hybridize to expression products of genes listed in Table 1 which are expressed at different levels in the cells or tissues that are being studies.

The genes listed in Table 1 were identified because their expression level was constant when comparing different samples. However, the expression level of the individual genes differs from extremely low to very high. Thus, some of the genes listed in Table 1 are expressed at very low levels in the tissues examined (indicated as intensity group 1), some genes are expressed at low levels (indicated as intensity group 2), some genes are expressed at moderate levels (indicated as intensity group 3), some genes are expressed at high levels in the tissues examined (intensity group 4), while some genes are expressed at very high levels (indicated as intensity group 5).

In a more preferred embodiment, the first set of molecules on the array comprises nucleotide sequences that are able to hybridize to expression products of the genes listed in Table 1 that differ in expression level from very low to very high in the cells or tissues that are being studied.

Therefore, in this embodiment the invention relates to an array wherein the first set of molecules comprises nucleic acid molecules selected from at least two different intensity groups as depicted in Table 1.

In an even more preferred embodiment, the first set of molecules on the array comprises nucleotide sequences that are able to hybridize to expression products of genes listed in Table 1 that cover a range of expression levels between very low and very high, in the cells or tissues that are being studied.

Therefore, in this embodiment the invention relates to an array wherein the first set of molecules comprises at least five nucleic acid sequences, each of which hybridizes to a gene that belongs to a distinct intensity groups as depicted in Table 1.

In a further preferred embodiment the invention relates to an array wherein the first set of molecules comprises at least ten nucleic acid sequences that hybridize to a total of 10 genes that encompass all five intensity groups as depicted in Table 1.

Preferably, said first set of molecules on the array comprise sequences that are able to hybridize to at least 15, more preferably 20, more preferably 25, more preferably 30, more preferably 35, more preferably 40, more preferably 45, more preferably 50, more preferably 60, more preferably 100, more preferably 200, more preferably 300, more preferably at least 400 of the gene products of genes listed in Table 1 encompassing all five intensity groups as depicted in Table 1.

In a further embodiment, said first set of molecules on the array comprises nucleotide sequences that are able to hybridize to at least 465 of the gene products of genes selected from each of the five intensity groups as depicted in Table 1.

It is furthermore preferred that said first set of molecules on the array comprises nucleotide sequences that are able to hybridize to the first 465 genes listed in Table 1, which are numbered 1-465.

In yet a further preferred embodiment, a gene is selected from each of the five intensity groups with the lowest standard deviation as a measure for the spread of values representing the determined expression level of said gene in relevant samples. Therefore, in this embodiment an array of the invention comprises nucleic acid molecules that are able to hybridize to genes listed in Table 1 which have the lowest standard deviation in at least two of the five indicated intensity groups.

More preferred is an array according to the invention wherein the first set of molecules comprises nucleic acid molecules that are able to hybridize to genes selected from all five intensity groups as depicted in Table 1 having the lowest standard deviation in each of said five intensity groups. The number of rank-ordered genes according to the standard deviation is preferably at least one for each intensity group, more preferred at least two for each intensity group, more preferred at least three for each intensity group, more preferred at least four for each intensity group, more preferred at least five for each intensity group, most preferred at least ten for each intensity group.

In a further embodiment, the number of genes selected differs for each of the intensity groups, resulting, for example, in two genes selected for a first intensity group, and ten genes selected for a second intensity group. An array according to the invention can be used to determine the expression level of a reporter gene in a cell, a collection of cells, or a tissue sample.

For this, an array according to the invention preferably further comprises a second set of nucleotide sequences capable of hybridizing to nucleic acid molecules that are differentially expressed in human cells and/or in human tissues, such as, for example, genes that are differentially expressed during development, genes that are differentially expressed during treatment with a drug or a hormone, genes that are differentially expressed during development of a disease, or genes that are differentially expressed during tumor development.

In this aspect, an array according to the invention further comprises a second set of nucleic acid molecules. The second set comprises nucleotide sequences that are able to hybridize to nucleic acid molecules that are expressed in a human cell or tissue.

In a further preferred embodiment, the second set of molecules comprises nucleotide sequences that are capable of hybridizing to nucleic acid molecules that that are expressed in samples of breast tissue.

In yet a further embodiment, the second set of molecules comprises nucleotide sequences that allow diagnosing the presence and/or staging of a tumor. The tumor can be of any origin. Preferred tumors are lymphoma such as Hodgkin's lymphoma or non-Hodgkin's lymphoma, sarcoma such as osteosarcoma or chondrosarcoma, leukemia such as acute myelogenous leukemia, chronic myelogenous leukemia, acute lymphocytic leukemia, or chronic lymphocytic leukemia, myeloma such as plasmacytoma or multiple myeloma, or carcinoma such as adenocarcinoma, colon carcinoma, lung carcinoma, squamous cell carcinoma or breast carcinoma.

In a particularly preferred embodiment, a second set of molecules comprises nucleotide sequences that allow diagnosing the presence and/or staging of a breast carcinoma.

Recently, a method for diagnosing and staging of breast tumor cells has been developed. Expression profiles of a number of genetic markers from tumor samples are compared to profiles of reference breast tumor samples. Differences and similarities in these profiles are then used to evaluate the presence and/or stage of disease [WO 02/103320]. In this study, a total of 231 genetic markers were identified, of which the expression can be correlated with the presence and/or staging of a breast tumor. This number was further reduced by the “leave-one-out” method to a total of 70 genetic markers [6]. A gene expression profile generated by these 70 genetic markers can be used to determine the presence and/or stage of a breast tumor cell in a collection of cells or tissue sample.

Therefore, in this aspect of the invention, the second set of nucleotide sequences on an array of the invention may comprise at least two sequences that are able to hybridize to any of the 231 genetic markers for breast tumor cells that are listed in Table 2.

In another embodiment, the second set of nucleotide sequences on an array of the invention may comprise at least 3 sequences, more preferably at least 4 sequences, more preferably at least 5 sequences, more preferably 10, more preferably 15, more preferably 20, more preferably 25, more preferably 30, more preferably 35, more preferably 40, more preferably 45, more preferably 50, more preferably 55, more preferably 60, more preferably at least 65 sequences that are able to hybridize to any of the 231 genetic markers for breast tumor cells that are listed in Table 2.

Therefore, in a preferred embodiment, the second set of nucleic acid molecules comprises at least five nucleotide sequences capable of hybridizing to nucleic acid molecules that are expressed in breast samples and that are selected from Table 2.

In yet a further embodiment, the second set of nucleic acid molecules comprises 70 nucleotide sequences that are able to hybridize to the genetic markers for breast tumor cells numbered 1 through 70 as listed in Table 2.

In an even further embodiment, the second set of nucleotide sequences on the array comprises at least two sequences, preferably at least 3, more preferably at least 4, more preferably at least 5, more preferably at least 10, more preferably at least 15, more preferably at least 20, more preferably at least 25, more preferably at least 30, more preferably at least 35, more preferably at least 40, more preferably at least 45, more preferably at least 50, more preferably at least 60, more preferably at least 100, more preferably at least 200 nucleotide sequences capable of hybridizing to the genetic markers for breast tumor cells that are listed in Table 3.

Therefore, in yet a further preferred embodiment, the second set of nucleic acid molecules comprises at least five nucleotide sequences capable of hybridizing to nucleic acid molecules selected from Table 3.

The second set of molecules may be present in multiple copies on an array of the invention.

In a preferred embodiment, the second set of molecules is present in duplicate, in triplicate, in quadruplicate, in quintuplicate, or in sextuplicate on an array of the invention.

In a further preferred embodiment, the second set of molecules is present in triplicate on an array of the invention.

In a preferred embodiment, an array according to the invention comprises a total of 1900 molecules.

In a further preferred embodiment, an array according to the invention comprises a total of about 4000 molecules.

In yet a further preferred embodiment, an array according to the invention comprises a total of about 8000 molecules.

An array according to the invention can be printed in multiple identical regions on a slide. In this way, multiple samples can be processed at the same time.

Therefore, the invention relates to an array that is printed in multiple identical regions on a slide.

In a preferred embodiment, the invention relates to an array that is printed in two or more identical regions, an array that is printed in three or more identical regions, an array that is printed in four or more identical regions, an array that is printed in five or more identical regions, an array that is printed in six or more identical regions, an array that is printed in seven or more identical regions, an array that is printed in eight or more identical regions, an array that is printed in ten or more identical regions, or an array that is printed in sixteen or more identical regions on a slide.

In a more preferred embodiment, the invention relates to an array that is printed in eight identical regions on a slide.

In another aspect the invention relates to a method for producing an array comprising a first set of nucleic acid molecules that are able to hybridize to at least two of the genes listed in Table 1, the method comprising immobilization of the molecules on a support.

Methods for producing an array according to the invention comprise general methods that are or will be known by a person skilled in the art and include, but are not limited to, immobilization of the molecules to a solid support. This support can be porous or non-porous such as a nitrocellulose, silica, acrylamide, or nylon membrane or filter.

The nucleic acid molecules preferably comprise DNA sequences, RNA sequences, or copolymer sequences of DNA and RNA. The molecules may also comprise DNA and/or RNA analogues such as, for example nucleotide analogues or peptide nucleic acid molecules (PNA), or combinations thereof. The molecules may comprise full or partial fragments of genomic DNA. The molecules may also comprise synthesized nucleotide sequences, such as synthetic oligonucleotide sequences. The sequences can be synthesized enzymatically in vivo, or enzymatically in vitro (e.g. by PCR), or non-enzymatically in vitro.

The length of the sequences may be between 20 and 500 nucleotides, such as, for example, 25 or more nucleotides, 30 or more nucleotides, 35 or more nucleotides, 40 or more nucleotides, 45 or more nucleotides, 50 or more nucleotides, 55 or more nucleotides, 60 or more nucleotides, 65 or more nucleotides, 70 or more nucleotides, 75 or more nucleotides, or 80 or more nucleotides, or 100 or more nucleotides

In a preferred embodiment, the length of the sequences is about 60 nucleotides.

The molecules on the array may be carefully designed to minimize nonspecific hybridization. The nucleotide sequence can be complementary to a region on the known or predicted mRNA that is known or will be known by a skilled person to be transcribed from the genes listed in Table 1. Therefore, this nucleotide sequence is able to hybridize to a complementary nucleic acid molecule that is derived from this mRNA by methods that are or will be known to a skilled person.

In a preferred embodiment, the nucleotide sequence is complementary to a region on the mRNA that is within 1 kilobase from the poly(A) sequence on the mRNA.

An array may comprise a support or surface with an ordered array of molecules. Preferably the arrays are addressable arrays, and more preferably positionally addressable arrays. More specifically, each molecule on the array is preferably located at a known, predetermined position on the solid support such that the identity (i.e., the sequence) of each molecule can be determined from its position on the array. In preferred embodiments, each molecule is covalently attached to the solid support at a single site.

In another aspect, the invention relates to a method for normalizing data comprising providing a first and a second array each comprising between 2 and 12.000 nucleic acid molecules comprising a first and second set of nucleic acid molecules wherein each nucleic acid molecule of said first set comprises a nucleotide sequence that is able to hybridize to a different gene selected from the genes listed in Table 1, wherein said first and said second array comprise an identical first set of nucleic acid molecules; dividing a sample in at least two identical sub-samples and labeling nucleic acid expression products in a first sub-sample with a first label, and labeling a second sub-sample with a second label different from said first label; contacting said first array with said first sub-sample and determining for each of said nucleic acid molecule of said first set the amount of said first label that is associated therewith; contacting said second array with said second sub-sample and determining for each of said nucleic acid molecule of said first set the amount of second label that is associated therewith; determining from the difference in associated first and second label for each of said first set of nucleic acid molecules a systematic error in the measurements of detected label depending on the amount of said first and said second label that is detected; and adjusting or correcting at least one value for the detected amount of label associated with at least one nucleic acid on said array for the systematic error.

It will be clear for a skilled person that contacting means the hybridization of the labeled sample to the nucleic acid molecules on the array, followed by washing to remove unbound labeled sample. Preferred conditions for hybridization and washing are stringent conditions, as known to a skilled person.

Said first set of nucleic acid molecules preferably comprises at least 2, preferably at least 10 nucleic acid molecules that are able to hybridize to genes listed in Table 1, whereby it is further preferred that said nucleic acid molecules are selected according to their rank-ordering position based on the determined standard deviation (see Table 1).

In a preferred embodiment, the invention relates to said method for normalizing data, wherein said nucleic acid for which said value is corrected is a member of said second or a third set of nucleic acid molecules.

In a further preferred embodiment, the invention relates to a method for normalizing data comprising providing a first and a second array each comprising between 2 and 12.000 nucleic acid molecules comprising a first and a second set of nucleic acid molecules wherein each nucleic acid molecule of said first set comprises a nucleotide sequence that is able to hybridize to a different gene selected from the genes listed in Table 1, wherein said first and said second array comprise an identical first set of nucleic acid molecules; contacting said first array with said first sub-sample and determining for each of said nucleic acid molecule of said first set the amount of said first label that is associated therewith; contacting said second array with said second sub-sample and determining for each of said nucleic acid molecule of said first set the amount of second label that is associated therewith; determining a transformation function for transforming the log10 ratios of the intensities of the detected hybridization signals to zero or approximately zero for expression products of genes listed in Table 1; using the determined transformation function to transform the intensity of the log10 ratios of hybridization signals obtained from nucleic acid molecules belonging to said second set of molecules.

Methods known in the art comprise quantifying the fluorescence intensities on scanned images. The values can be corrected for background non-specific hybridization, and can be normalized using, for example, Feature Extraction software (Agilent Technologies). Normalization methods include methods that are or will be known to a person of ordinary skill in the art, such as locally weighted polynomial regression [23, 24].

For the locally weighted polynomial regression, a low-degree polynomial is fit to a subset of the data at each point in the data set, with explanatory variable values near the point whose response is being estimated. The polynomial is fit using weighted least squares, giving more weight to points near the point whose response is being estimated and less weight to points further away. The value of the regression function for the point is then obtained by evaluating the local polynomial using the explanatory variable values for that data point. The locally weighted polynomial regression fit is complete after regression function values have been computed for each of the n data points.

Samples can be processed in numerous ways, as is known to a skilled person. For example, they can be freshly prepared from cells or tissues at the moment of harvesting, or they can be prepared from surgical biopsies that are stored at −70° C. until processed for sample preparation. Alternatively, tissues or surgical biopsies can be stored under protective conditions that preserve the quality of the RNA. Examples of these preservative conditions are fixation using e.g. formaline, RNase inhibitors such as RNAsin (Pharmingen) or RNasecure (Ambion). Alternatively, specific salts such as a salt comprising ammonium sulfate or cesium sulfate can be added to the sample as an RNA-preserving agent.

In a preferred embodiment, the biopsies have a depth of at most 10 millimeter, more preferred at most 5 millimeter, and a diameter of about 2 millimeter, about 3 millimeter, about 4 millimeter, about 5 millimeter, about 6 millimeter, about 7 millimeter, about 8 millimeter, about 9 millimeter, or about 10 millimeter. However, other forms that are equal in size are also possible.

In an alternative embodiment, the sample is prepared from a needle aspiration biopsy, which is a procedure by which a thin needle is inserted in a tissue to extract cells. A needle aspiration biopsy can be processed and stored under protective conditions that preserve the quality of the RNA. Examples of these preservative conditions are fixation using e.g. formaline, RNase inhibitors such as RNAsin (Pharmingen) or RNasecure (Ambion). Alternatively, a solution of specific salts such as a salt comprising ammonium sulfate or cesium sulfate can be added to the sample as an RNA-preserving agent.

In another aspect, the invention relates to a sample container comprising a RNA-protecting agent and a human biopsy, the sample container being stored in a plastic envelope, the envelope further comprising written sampling instructions and a punch.

In a further embodiment, this aspect of the invention relates to a sample container comprising a solution of a salt comprising ammonium sulfate or cesium sulfate and a biopsy of a human tumor.

In a further embodiment, the invention relates to a sample container comprising a solution of a salt comprising ammonium sulfate or cesium sulfate and a biopsy of human breast tissue.

For the generation of a hybridization mixture, the sample RNA is preferably extracted and labeled. The RNA can be extracted from the sample by any method known in the art. RNA can be isolated from the whole sample or from a portion of the sample generated by, for example section or laser dissection. The extracted sample RNA is preferably subsequently converted into a labeled sample comprising either complementary DNA (cDNA) or cRNA using a reverse-transcriptase enzyme and labeled nucleotides. A preferred labeling introduces fluorescently-labeled nucleotides such as, but not limited to, Cyanine-3-CTP or cyanine-5-CTP. Examples of labeling methods are known in the art and include Low RNA Input Fluorescent Labeling Kit (Agilent Technologies), MessageAmp Kit (Ambion) and Microarray Labeling Kit (Stratagene).

In a preferred embodiment, the labeled sample comprises two dyes that are used in a so-called two-color array. For this, the sample is split in two or more parts, and one of the parts is labeled with a first fluorescent dye, while a second part is labeled with a second fluorescent dye. The labeled first part and the labeled second part are independently hybridized to an array of the invention. The duplicate hybridizations with the same samples allow compensating for dye bias.

The labeled sample can be hybridized against the molecules that are spotted on the array. A molecule in the labeled sample will bind to its appropriate complementary target sequence on the array. Before hybridization, the arrays are preferably incubated at high temperature with solutions of saline-sodium buffer (SSC), Sodium Dodecyl Sulfate (SDS) and bovine serum albumin (BSA) to reduce background due to nonspecific binding.

The arrays are preferably washed after hybridization to remove labeled cDNA that did not hybridize on the array, and to increase stringency of the experiment to reduce cross hybridization of the sample sequences to partial complementary probe sequence on the array. An increased stringency will substantially reduce a-specific hybridization of the sample, while specific hybridization of the sample is not substantially reduced. Stringent conditions include, for example, washing steps for five minutes at room temperature 0.1×Sodium chloride-Sodium Citrate buffer (SSC)/0.005% Triton X-102. More stringent conditions include washing steps at elevated temperatures, such as 37 degrees Celsius, 45 degrees Celsius, or 65 degrees Celsius, either or not combined with a reduction in ionic strength of the buffer to 0.05×SSC or 0.01×SSC as is known to a skilled person.

Image acquisition and data analysis can subsequently be performed to produce an image of the surface of the hybridised array. For this, the slide can be dried and placed into a laser scanner to determine the amount of labeled sample that is bound to each target spot. Laser excitation of the incorporated targets yields an emission with characteristic spectra.

The interpretation of the data produced can be performed using known clustering analyses based on, for example, hierarchical or partitional clustering.

Data obtained with a labeled sample can be compared to data obtained with reference samples. Reference samples can include a collection of cell lines, representing different tissues, tissue samples with and without a tumor, or samples comprising different stages of a tumor. The expression profile of an unknown sample can be used to compare with the expression profile of a reference sample or multiple reference samples so as to evaluate the presence and/or stage of a disease.

In one aspect the invention therefore provides a method for detecting and/or staging of a disease comprising providing an array comprising between 2 and 12.000 nucleic acid molecules comprising a first set of nucleic acid molecules wherein each nucleic acid molecule of said first set comprises a nucleotide sequence that is able to hybridize to a different gene selected from the genes listed in Table 1; contacting said array with a sample comprising expression products from cells of a patient; detecting hybridization of said expression products to nucleic acid molecules of said array to provide an expression profile; comparing said hybridization with the hybridization of at least one reference sample to a similar array.

In a further aspect, the invention relates to a method for classifying the presence and/or stage of a disease, comprising providing an array comprising between 2 and 12.000 nucleic acid molecules comprising a first set of nucleic acid molecules wherein each nucleic acid molecule of said first set comprises a nucleotide sequence that is able to hybridize to a different gene selected from the genes listed in Table 1; contacting said array with a sample comprising expression products from cells of a patient; detecting hybridization of said expression products to nucleic acid molecules of said array to provide an expression profile; comparing said expression profile with the expression profile of at least one reference sample to a similar array; and classifying the presence and/or stage of a disease on the basis of the comparison of the expression profile.

In yet a further aspect, the invention relates to a method for prognosing the risk of distant metastasis of breast cancer, comprising providing an array comprising between 2 and 12.000 nucleic acid molecules comprising a first set of nucleic acid molecules wherein each nucleic acid molecule of said first set comprises a nucleotide sequence that is able to hybridize to a different gene selected from the genes listed in Table 1; contacting said array with a sample comprising expression products from cells of a patient; detecting hybridization of said expression products to nucleic acid molecules of said array; comparing said hybridization with the hybridization of at least one reference sample to a similar array; classifying said patient as having a first prognosis or a second prognosis on the basis of the comparison with the hybridization of the at least one reference sample.

The result of a comparison of the determined expression profile with the expression profile of at least one reference sample is preferably displayed or outputted to a user interface device, a computer readable storage medium, or a local or remote computer system. The storage medium may include, but is not limited to, a floppy disk, an optical disk, a compact disk read-only memory (CD-ROM), a compact disk rewritable (CD-RW), a memory stick, and a magneto-optical disk.

In a preferred embodiment, the result of said comparison is a score indicating a similarity of the determined expression profile in relevant cells of a patient, and the expression profile of at least one reference sample, whereby said reference sample is a sample form a patient with known disease, or with known outcome of a disease. It is further preferred that said score varies between +1, indicating a prefect similarity, and −1, indicating a reverse similarity.

In yet a further aspect, the invention relates to a method for assigning treatment to abreast cancer patient, comprising the method for prognosing the risk of distant metastasis of breast cancer and assigning treatment to the patient based on the prognosis.

In a preferred embodiment, the invention relates to the use of an array according to the invention for obtaining an expression profile.

In a further preferred embodiment, the expression profile is obtained of a human patient.

In yet a further preferred embodiment, the expression profile is obtained of a human breast cancer patient.

In an even further preferred embodiment, the invention relates to the use of an array of the invention in a process for classifying the presence and/or stage of a disease.

Definitions Array

An array is a collection of molecules comprising nucleotide sequences that are attached to a solid surface, such as glass, plastic or silicon. The molecules are termed probes, and can hybridize to complementary nucleic acid molecules. The complementary molecules can be e.g. fluorescently labeled so that their hybridization to a probe on the array can be monitored with a fluorescent detection device.

Set

A collection of at least two molecules that is present on an array.

Slide

A solid surface, such as glass, plastic or silicon, onto which the molecules comprising nucleotide sequences are attached.

Normalization

The term normalization refers to a method for adjusting or correcting a systematic error in the measurements of detected label. A preferred method is provided by dye-swapping, in which probes are labeled with a first and a second label. Differences in the amount of a first and a second label that is detected are used to correct the raw data.

The correction for systemic bias such as dye bias is preferably performed by transforming the log10 ratios of the intensities of signals obtained with differentially labeled expression products of a normalization gene in a sample to approximately zero by applying an appropriate transformation function. Said transformation function is subsequently used for normalization of intensities of signals obtained from further genes.

Reference Sample

A reference sample can include a collection of cell lines, representing different tissues, tissue samples with and without a tumor. A reference sample can be used to compare stages of a tumor, or, for example, to compare tumor samples from patients with different prognoses. A preferred reference sample is a sample form a patient with known disease, or with known outcome of a disease.

Expression Profile

An expression profile is a reflection of the expression levels of multiple genes in a sample. It can be obtained by analyzing the hybridization pattern of a sample on an array, or by analyzing the expression levels using, for example, Northern blotting or quantitative polymerase chain reaction.

LEGEND TO THE FIGURES

FIG. 1. Expression data matrix of 70 prognostic markers genes from tumors of 78 breast cancer patients hybridized using the custom microarray.

FIG. 2. Comparison of current data to published values

FIG. 3. Custom array outcome of replicate experiments.

FIG. 4. Custom diagnostic microarray outcome of two samples over time.

FIG. 5A. Kaplan-Meier analysis of the probability that patients would remain free of distant metastases

FIG. 5B. Kaplan-Meier Analysis of the probability of overall survival

FIG. 6. The number of normalization genes used plotted against the difference in MPI as determined using up to 100 independent sets of randomly selected normalization genes compared to the MPI as determined using 465 normalization genes. The two straight lines indicate the 95% confidence interval for determined MPI using all normalization genes.

FIG. 7. The number of normalization genes used plotted against the difference in MPI as determined using up to 100 independent sets of rank-ordered normalization genes according to the standard deviation of the logratio, compared to the MPI as determined using 465 normalization genes. The two straight lines indicate the 95% confidence interval for determined MPI using all normalization genes.

FIG. 8. The number of normalization genes used plotted against the difference in MPI as determined using up to 100 independent sets of randomly selected normalization genes from each of the five intensity intervals, compared to the MPI as determined using 465 normalization genes. The two straight lines indicate the 95% confidence interval for determined MPI using all normalization genes.

FIG. 9. The number of normalization genes used plotted against the difference in MPI as determined using up to 100 independent sets of normalization genes from each of the five intensity intervals that were rank-ordered according to the standard deviation of the logratio, compared to the MPI as determined using 465 normalization genes. The two straight lines indicate the 95% confidence interval for determined MPI using all normalization genes.

EXAMPLES Example 1

Recently, using complex microarrays, a 70-gene prognosis profile was identified that is a powerful predictor for the outcome of disease in young breast cancer patients [6]. This profile was generated using 78 tumor samples of patients having lymph node negative disease by hybridization of fluorescent-dye labeled RNA to microarrays containing 25,000 60-mer oligonucleotide probes. To facilitate the use in a diagnostic setting, the 70-gene prognosis profile was translated into a microarray comprising a reduced set of 1,900 probes that include 915 probes that were added for normalization purposes and that are directed towards genes listed in Table 1. To enable the use of this prognostic classifier in a diagnostic setting, custom-made 8-pack mini-arrays were used (Agilent Technologies), which comprise a single 1″×3″ slide containing eight identically printed regions or sub-arrays.

Aliquots of total RNA of 149 frozen tumor samples was available for this study, while for 13 samples (8 out of 78 and 5 of the 145 tumor series, see above) new RNA was isolated from available frozen tumor tissue as described previously [6]. Two-hundred nanogram total RNA was amplified using the Low RNA Input Fluorescent Labeling Kit (Agilent Technologies). Cyanine 3-CTP or Cyanine 5-CTP (Perkin Elmer) was directly incorporated into the cRNA during in vitro transcription. A total of 200 ng of Cyanine-labeled RNA was co-hybridized with a standard reference to custom 8-pack microarrays at 60□C for 17 hrs and subsequently washed according to the Agilent standard hybridization protocol (Oligo Microarray Kit, Agilent Technologies). The reference sample consisted of pooled and amplified RNA of 105 primary breast tumors selected from patients of the clinical validation series [6] in such a way that it had a similar proportional distribution between good and poor profile patients. Sufficient reference material was generated for over 30,000 hybridizations. For each tumor two hybridizations were performed by using a reversal fluorescent dye.

The 8 pack microarray contained 1,900 60-mer oligonucleotide probes that comprise the 231 prognosis related genes [6], including the genes of the 70-gene prognosis classifier, spotted in triplicate. Each array additionally comprises 289 probes for hybridization and printing quality control, 915 normalization genes listed in Table 1, and a triplicate probe for detecting the expression level of estrogen receptor 1 (ESR1). After hybridization the slides were washed and subsequently scanned with a dual laser scanner (Agilent Technologies).

For the hybridization, 200 ng each of Cy3- and Cy5-labeled RNA were hybridized to each array in a 45u1 total volume of hybridization buffer (Agilent Technologies) for 16 hours at 60C, followed by room temperature disassembly in 6x Sodium chloride-Sodium Citrate buffer (SSC)/0.005% Triton X-102, a ten minute room-temperature wash in 1×SSC/0.005% Triton X-102, and a five minute room temperature wash in 0.1×SSC/0.005% Triton X-102

Dye bias was corrected by multiplying each background-subtracted intensity measurement by an appropriate dye transformation function using the non-linear (LOWESS) method of curve fitting [19, 22]. Odds ratios were calculated based on a two by two contingency table. P-values associated with odds ratios were calculated by Fisher's exact test. Survival periods of patients were analyzed from the calendar date of surgery to the time of the first event or the date on which data were censored, according to the method of Kaplan Meier. The curves were compared using the log rank test.

Fluorescence intensities on scanned images were quantified, values corrected for background non-specific hybridization, and normalized using Feature Extraction software (Agilent Technologies). Data was further analyzed using custom algorithms in Matlab (The Mathworks). To obtain an overall expression value for each of the signature genes on the array, an error-weighted mean value was calculated for the three identical probes belonging to the same gene as log10 ratios. To establish appropriate relative weights, the

Rosetta error model was used, which corrects for the uncertainties in individual probe measurements [21]. Probes were excluded from further calculations if their background corrected intensities were below zero and/or if spots were flagged as non-uniformity outliers as determined by the image analysis software.

The expression intensities of the 70 signature genes for the 78 original samples hybridized to the customized array are shown in FIG. 1. The tumors are rank-ordered according to their correlation coefficients with the re-established ‘good prognosis template’ (FIG. 1 middle panel). Genes are ordered according to their correlation coefficient with the two prognostic groups as previously described. Tumors with correlation values above or below the previously determined threshold (indicated by the yellow line in FIG. 1) were assigned to the good or poor prognosis profile group, respectively. The right panel in FIG. 1 shows the distant metastasis status of the patients and confirms the strong correlation of prediction and high accuracy between the profile predicted and actual outcome of disease of the patients, as observed in the original studies.

Outcome prediction for the 78 tumor samples used in FIGS. 2 and 3 was performed as described by Van 't Veer et al [6]. In brief, the ‘good prognosis template’ was (re-)constructed using the average expression for each of the 70 genes in tumors from the 44 ‘good outcome’ patients as determined on the customized mini-array. Subsequently, the expression of the 70 profile genes for each patient was correlated in a leave-one-out cross validation procedure to the ‘good prognosis template’. A patient with a cosine correlation to the good prognosis template higher than 0.4 was assigned to the good-profile group. Patients with a correlation lower than this threshold were assigned to the poor-profile group.

Outcome prediction for the 145 tumor samples used in FIG. 6 was performed as described [6]. For each of the 84 tumors from patients that were not included in the original study [6], a correlation coefficient of the 70-gene expression with the template was calculated as described above. For the 61 patients who were included in the original study [6], correlation coefficients were calculated according to the cross-validated classification method using all 231 genes. This approach was originally employed to minimize the overestimation of the value of the prognosis profile. The only deviation is that 231 instead of a varying number of prognosis correlated genes (range 238±23) were used in the cross-validation procedure since only these 231 genes are present on the mini array.

To perform a comprehensive evaluation of the microarray results, we compared the current classification to the good and poor prognostic profiles with that of the originally published classification for each sample (see FIG. 2). Results from the original study are shown (X-axis) plotted against those obtained from the customized mini-array (Y axis). The data generated using the diagnostic test is highly similar (Pearson correlation of 0.92, p<0.0001) to the original published data. The overall accuracy of the diagnostic test was determined by calculating the odds ratio for the development of distant metastases within five years. The odds ratio calculated based on the current results (OR=13. 95% CI 3.9 to 44) was highly comparable to the original data (OR=15, 95% CI 2.1 to 19) using the methods described in the supplementary information of reference [6].

A more detailed evaluation revealed seven discordant cases between risk assessment using an 8-pack mini-array and the published data. These cases included two patients that did not develop distant metastases, who were classified as having poor prognosis in the published data. However, the present diagnostic test correctly classified them into the good prognosis group. Furthermore, one patient who did develop metastases was originally classified as good prognosis, whereas in the current results this patient was classified correctly as having a poor prognosis. On the other hand, however, there were two good outcome patients classified as poor prognosis using the diagnostic test, while in the original data these samples were classified correctly, as well as two poor outcome patients classified as good prognosis by the current test who where correctly classified by original analysis as poor prognosis.

These results indicate that the genes listed in Table 1 can be used for normalizing hybridization data from arrays comprising a reduced set of probes.

Example 2 Reproducibility

To further investigate if the differences seen were due to technical variation of the current test or could be otherwise explained, 49 samples were amplified and hybridized a second time to an 8-pack mini-array (FIG. 3). The Pearson correlation for the replicate experiments was 0.995, indicating a very high degree of reproducibility of classification for individual tumor samples using the customized 8-pack array. Also an ANOVA analysis performed on the 70-gene expression values obtained in the duplicate experiments showed no significant differences, independent of variation between individual samples and profile genes (p=0.960).

To ensure that the outcome of the test does not change over time, two samples were amplified and labeled repeatedly over a period of 5 months (FIG. 4). One sample (HRC) was classified as poor prognosis with an average cosine correlation to the good prognosis template of −0.43. The other sample (LRC) was classified as good prognosis (average correlation to the good prognosis template of 0.60). Both samples were stable over time as shown and the diagnostic test result was observed to have a very low standard deviation (LRC stdev 0.026, HRC stdev 0.023), indicating the robustness of the diagnostic test.

Example 3 Clinical Validation

To more accurately estimate the risk of metastases associated with the 70-gene prognostic profile, a validation study was performed using a cohort of 295 young breast cancer patients. For the current study we selected 151 patients from a cohort without lymph node involvement at diagnosis [13] of which 145 RNAs were available.

We calculated the probability of a patient remaining free of distant metastases and overall survival according to the prognosis profile and compared this to the published data [13].

The data generated using the customized array was found to be highly similar (Pearson correlation of 0.88, p<0.0001) to the original data.

As was seen before, Kaplan-Meier curves showed a significant difference in the probability that patients would remain free of distant metastases when classified in the good or poor prognosis profile group (FIG. 5A, LogRank p<0.001). The difference in prediction of probability of overall survival (FIG. 5B) between the groups with good or poor prognosis profiles was also highly significant (p<0.001). The estimated hazard ratio for distant metastases as a first event in the group with a poor prognosis signature versus the group with a good-prognosis signature, over the entire follow up period, was 5.6 (95% CI 2.4 to 7.3, P<0.0001). This confirms the published data [13] (HR=5.5, 95% CI 2.5 to 12.2, P<0.001).

When the probability of a patient remaining free of distant metastases was compared between the current result (FIG. 5 blue line) and the original analysis (FIG. 5 dashed green line) in the good prognosis profile groups, no significant difference was found (logRank p=0.890). Similarly for those patients in the poor prognosis profile groups (logRank p=0.794) (FIG. 5 red and dashed magenta lines). Equally, there is no significant difference in overall survival of patients grouped by either the current result or the original published result for either prognosis profile group (two results of good prognosis profile group: logRank p=0.747, two results of poor prognosis profile group logRank p=0.760, respectively). All results taken together indicate that there is not only a strong correlation between good prognosis and the absence of distant metastasis or death but the findings generated using the more complex microarray platform were nearly perfectly reproduced using the customized mini-arrays, and demonstrate the robustness of the 8-pack mini-array test.

Example 4

A total of 329 breast tumor samples were hybridized to customized 8 pack microarrays. For each sample, data of duplicate hybridizations were analyzed (reverse color).

For every single hybridization (n=658), background (BG) subtracted raw intensity columns from the Feature Extraction (FE) txt file were read into Matlab using XPrint code. The intensities were used to calculate the

logRatio(M) as M=log10(R/G; and

the average intensities A=log10(sqrt(R.G);

whereby R defines the raw intensities for the red channels and G defines the raw intensities for the green channel.

Data for each slide was normalized using increasing number of normalization genes. The raw intensities were normalized with different sets of normalization genes for each number of normalization genes, using Lowess normalization within Matlab which is comparable to the normalization used in Feature extraction. After each normalization, the duplicate hybridizations were combined and a correlation to the average good prognosis profile (MPI) was calculated using XPrint code as reported,(WO 2002-103320). The calculated MPI was compared to the MPI calculated using Feature extraction normalized log ratios.

Using different numbers of normalization genes, and up to hundred (100) different sets of normalization genes for each number, a Lowess curve was calculated. This is the most optimal curve through the normalization genes and represents the dye-bias of the experiment. The calculated Lowess curve was interpolated to the rest of the genes spotted on the array. At each intensity, the difference of the Lowess curve and the log10=0 line was subtracted from the genes over the complete intensity range.

MPI was calculated using the normalized logratios (M−lowess-value) and compared to the MPI using all normalization genes.

All calculations were performed in Matlab 7.4.0. The average intensity per gene over the 658 hybridizations was calculated for 465 normalization genes (genes labeled 1-465 in Table 1). Subsequently, the normalization genes were divided in five groups of equal size, i.e. 93 genes per intensity group as determined by the average intensity per gene.

Random sets with increasing number of normalization genes were chosen to define the minimum number of genes that can be used for normalizing the data. The number of normalization genes varied between 5 genes and 100 genes. Data derived from 100 independent sets of randomly selected normalization genes were determined for each number of normalization genes, wherever possible.

For all samples, the MPI determined using all normalization genes was subtracted from the new MPI calculated with different numbers comprising different sets of normalization genes. The min, max and mean were plotted using a confidence interval of 95%.

The total of normalizations performed is: 658*96*100=6,316,800.

FIG. 6 shows the mean difference of the MPI calculated for all sets comprising increasing numbers of randomly selected normalization genes, as well as the largest differences observed. The red lines indicate the upper and lower limits of +0.06 and −0.06, being two times the determined technical variation (2xTechVar) of MPI using the normalization genes.

These results indicate that a minimal number of randomly selected normalization genes is between 5 and 10. From a total of 18 randomly selected normalization genes onwards, a MPI within the 2xTechVar is obtained.

In a further experiment, the standard deviation of the 658 hybridizations was calculated for all 465 normalization genes (gene numbers 1-465 in Table 1) and the genes were sorted according to the standard deviation.

Starting with the top 5 ranked genes with the lowest standard deviation, the number of normalization genes was increased from 5 onwards to normalize all 658 hybridizations.

The difference between the calculated MPI, normalized with a number of rank-ordered normalization genes and the MPI as determined with all normalization genes was calculated and for every subset of normalization genes the mean, min and max was after removing 5% of the outliers.

The total number of normalizations done for this test is: 658*465=305,970 normalizations.

FIG. 7 shows the results from the normalization experiments starting with the top 5 rank-ordered genes with the lowest standard deviation to normalize the microarray data. These results indicate that a minimal number of randomly selected normalization genes is about 9. From a total of 10 rank-ordered normalization genes onwards, a MPI within within the 2xTechVar is obtained.

In yet a further experiment, random selection of normalization genes from each of five different intensity intervals was used for MPI determination.

Starting with one gene selected from each of five equally divided intensity intervals, from five up to 93 normalization genes were selected. Whenever possible, hundred independent sets of genes were chosen and MPI was determined for all sets for every number of normalization genes.

The difference between the calculated MPI, normalized with a set of normalization genes, and the original MPI was calculated and for every set of normalization genes the mean, min and max was calculated after removing outliers.

The total of normalizations done for this test is: 93*100*658=6,119,400 normalizations.

FIG. 8 shows the results from the normalization experiments starting with 5 normalization genes, one from every intensity interval, to normalize the microarray data. These results indicate that a minimal number of randomly selected normalization genes from each intensity interval is about 1, resulting in a total of 5 normalization genes. From a total of 2 normalization genes per intensity interval onwards, a MPI within the 2xTechVar is obtained.

In an even further experiment, normalization genes within the five equally divided intensity intervals were selected starting with the genes with the lowest standard deviation. Starting with 5 genes, one gene with the lowest standard deviation from each intensity range, a gene with the next lowest standard deviation in each intensity range was added to the set of normalization genes to normalize the samples.

The difference between the calculated MPI, normalized with a set of normalization genes, and the original MPI was calculated and for every subset of normalization genes the mean, min and max is calculated after removing outliers.

The total of normalizations done for this test is: 93*658=61,194 normalizations.

FIG. 9 shows the results from the normalization experiments starting with 5 rank-ordered normalization genes, one from every intensity interval, to normalize the microarray data. These results indicate that a minimal number of rank-ordered normalization genes from each intensity interval is about 3, resulting in a total of 15 normalization genes. From a total of 10 rank-ordered normalization genes per intensity interval onwards, a MPI within the 2xTechVar is obtained.

Conclusion:

Using a microarray test according to the invention in a clinical setting will provide accurate information on recurrence risk as compared to conventional clinical criteria and may improve the guidance for the requirement of adjuvant therapy for women diagnosed with breast cancer. As a result, many patients may be spared the side effects and risks of such treatment, improving quality of life and reducing healthcare costs.

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TABLE 1 Genbank accession Gene Intensity number Symbol Probe Sequence group STD order 1 NM_002611 PDK2 GGCTTTCTCCCTAGGACCTTCTGTGTATATAGTTAGTTTTATAACCCTGAATGCCCCCAC 4 120 2 NM_000871 HTR6 TGCCATATGCTTCACCTACTGCAGGATCCTGCTAGCTGCCCGCAAGCAGGCCGTGCAGGT 1 162 3 NM_018520 GAGGCGCAGTGTCTTTTTAACCACTTTGAAGACCAACAGCCAAGACATCTTGAGCTAGTT 1 442 4 NM_006671 SLC1A7 CCATCACCTTCAAGTGCCTGCTGGAGAACAACCACATCGACCGGCGCATCGCTCGCTTCG 4 44 5 NM_013403 STRN4 ATTATCACTGTGTGATGGTCTCAGTCAGTCTCCTCCCTGTCTCCACTCTTTCCCTCTATT 5 81 6 NM_016347 CML2 CACAGACATGTCTGACATCACCAAATCCTACCTGAGTGAGTGTGGCTCCTGCTTCTGGGT 4 45 7 NM_002230 JUP CTCACCAACTCCCTCTTCAAGCATGACCCGGCTGCCTGGGAGGCTGCCCAGAGCATGATT 4 218 8 NM_007264 ADMR CATGCTGCACTGTGTCATCAACCCCATCCTTTACAACTTTCTCAGCCCACACTTCCGGGG 3 54 9 NM_016621 PHF21A GCAAGGAGAACAGAACACTGAAGACTCTAGAAAAGCAAAGCCGGATTTCTGGAAAGTGCA 4 219 10 NM_001738 CA1 TTTGATGATTCTGAGAAGAAACTTGTCCTTCCTCAAGAACACAGCCCTGCTTCTGACATA 2 5 11 NM_006439 MAB21L2 AAAGTTTTACTGATGTTAAACGTTCTCAGTGCCAATGTCAGACTGTGCTCCTCCCTCTCC 2 27 12 NM_004343 CALR AGCAGAAGGGGGTGGTGTCTCCAACCCCCCAGCACTGAGGAAGAACGGGGCTCTTCTCAT 5 397 13 NM_017701 PRR5 TGTATTTCTGTCTTGGTTGGAAATACCATCAGCCTTCCTTGCTCGGCCCAGGTCTGTTTC 4 87 14 NM_005839 SRRM1 TCTTGTATTTGGAAGGCTGGAAGGGCCCAGACTTTGGAATAGTGTCTTGGTTTCACTGTT 5 334 15 NM_004142 MMP25 CTGTGTGTTCTCTGGATCTTTTCAGCCCTGTGGTCCAGTGTCCATCACAGCCATGCTGAC 3 67 16 NM_016174 CEECAM1 TGGGGTCTCCGTCCACGTGTGCAATGAGCACCGTTATGGGTACATGAATGTGCCGGTGAA 2 108 17 NM_004770 KCNB2 AGCACATCAGTACCATCCTCTTAGAAGAAACCCCCTCCCAGGGAGACAGACCCTTGCTGG 4 153 18 NM_006605 RFPL2 AAATTACTTGGGTGGGTAGACTTAGGAACGCTCTACTTCGTAAAAGCATTATACAAAGTC 1 450 19 NM_003021 SGTA CTCCCTGGCTCCTGGCCGTCTGTGAGGTAGGCGCAGTACCGTGTATCGTAGGTAGCAGTA 5 112 20 NM_003305 TRPC3 GACAGGGACCATGTCTTATTCATCTTTGTGTCTCCAGCATCTAGTACAGTGCCTGGTATA 2 250 21 NM_005056 JARID1A CTACAAGGCAAGGAGCCGTTTTTTGGCTTTGAAAAGTCTTGCTGTCTTGGGTCTACATTT 5 446 22 NM_004533 MYBPC2 CCAAGACAATTGGTGGTGGAGTCCTGACCCCAATCCCCAACCTCCCAGGACTGTGTTCTT 3 114 23 NM_014390 SND1 GTCCAACTGTTGATTATGTGATTTTTCTGATACGTCCATTCTCAAATGCCAGTGTGTTCA 5 190 24 NM_012345 NUFIP1 TATGGCTTATGGGTTAATAAATGAATTCATGGACTCCTGGACTACTTTCATTGATGACCA 1 209 25 NM_004047 ATP6V0B TCACTTTTATTTATTGCTGGTTTTCCTGGGACAGCTGGAGCTGTGTCCCTTAGCCTTTCA 5 340 26 NM_020213 ATCTATGCTGAAGCCAGCTGTCTGTACTCGTGAACTATGCGTTTTCTCCTTCTACACACT 1 244 27 NM_006298 ZNF192 AAAGCAATCAAAGTCTTACGTCATAGAGGACCACCTTTTGGATCATAAATTCTTTCCCTA 2 447 28 NM_001042 SLC2A4 GCAGCCATGGCTGTGGCTGGTTTCTCCAACTGGACGAGCAACTTCATCATTGGCATGGGT 1 260 29 NM_003245 TGM3 AACGAGGCTCGTGTGCGGAAGCCTGTGAACGTGCAGATGCTCTTCTCCAATCCACTGGAT 1 167 30 NM_004314 ART1 CTGAGGATGTTGGCCATGTGTGCTTCAGTGTAACCAAGATTCCTGTCAATCCCATCTGCA 1 140 31 NM_007102 GUCA2B GAGGCTTCCAGCATCTTCAAGACCCTGAGGACCATCGCTAACGACGACTGTGAGCTGTGT 3 405 32 NM_012164 FBXW2 TGAGATAGCAAACTTGGCCTTGCTTGGCTTTGGAGATATCTTTGCCCTGCTGTTTGACAA 3 210 33 NM_017700 FLJ20184 TTTTTTCCCCCTGCGAGAATGACTAAAAATAACATGGAAGAAGATTTAGAGCTCTGCAGC 2 82 34 NM_016494 LOC51255 GAGACTGCCATTGAGATGCCTTGCCATCACCTTTTCCATTCCAGCTGCATTCTGCCCTGG 5 174 35 NM_006462 RBCK1 TGCTGAAAACCGCAGTGCCTTCAGCTACCATTGCAAGACCCCAGATTGCAAGGGATGGTG 2 361 36 NM_004122 GHSR TGTGGGTGTCCAGCATCTTCTTCTTCCTTCCTGTCTTCTGTCTCACGGTCCTCTACAGTC 5 188 37 NM_018959 DAZAP1 TTTTTTGGAAATTATTTTCCTGAGCCTTTTGTTTTACGGTATATTGTAAACTTTTATGTT 4 200 38 NM_004256 SLC22A13 CCCCCAATACTCTGTCTGGGTTAGGATCTTGGGTATGTCTTGGAATTAACTTGTCCTCTA 1 24 39 NM_002777 PRTN3 ATGGCATCATCCAAGGAATAGACTCCTTCGTGATCTGGGGATGTGCCACCCGCCTTTTCC 1 142 40 NM_003926 MBD3 GCCAGGGCAGCCGAGGGAAGCTCCAGGTGGGGACCACGTCTTCCTGAGGTTGGTGCCCAC 5 337 41 NM_004760 STK17A CACCTCCCCCCATGCTTGTCATTTAATTTTGGCCACTTGTAGGTATCAGTGTGATCTGAT 5 410 42 NM_003301 TRHR TTGGTTTTTGCTCTTTTGCAGAATTTGCATTTATCTCAACAGTGCCATCAACCCGGTGAT 1 356 43 NM_005968 HNRPM TTGGGGTAATTTGAATTACTTTTTTAATGACTGGGGTTCCATTTGACTGTTTGCATTGAG 5 369 44 NM_013286 RBM15B TATCTCCTGGGTTATTTTGGTTCATTTGGGTGGGGATCAAAGTCCTGTCCACCACCAAAA 4 134 45 NM_002843 PTPRJ GCACCCACAGCGAAGGCACATGCCCCGATGTCGACATGTTTTTATATGTCTAATATCTTA 2 148 46 NM_017612 ZCCHC8 TGTGACTATCCGTCGAGAGTGATGGTTTTTATCTGTCTTTTGTACATTGTTTTCCCTTTC 3 413 47 NM_007017 SOX30 TATAACAGTCATAGCCACAGTGGGGAAGAAAACTTAAACCCTGTGCCTCAGCTGGACATT 1 213 48 NM_017420 SIX4 CCCAGCAGTACATCAGGATTTTGTCCAAGAACATCGTTTGGTTCTGCAATCGGTAGCTAA 1 445 49 NM_017703 FBXL12 CTCACGGTTACATTGCAAAGCCTTACTCTAAAAGCTCCCAGCCTCCAGAGGCTCTCAATG 3 160 50 NM_015726 WDR42A TCTTACCTTTAGCTGCTTGATCATTAAGCCATCCAACTTCATGCCAGTTCCCTTCTTTAT 3 217 51 NM_016498 SEC14L2 AGCTCCTCCTGATCATACTCTGGTACCTGGCCTGTGCATCGGCCTCCTGCTTCATGTCAA 4 38 52 NM_016407 C20orf43 GCTTTAAAAAGGATGGATTTCAAATACACTGTGCCCACTAGAAGCTTCGAAGGGCCTCGT 5 257 53 NM_017841 FLJ20487 TGGTCCTGCCTCAAGTGATGGACATAACCCTCTCCTAGGACATACATGTAAATGCACAAT 4 96 54 NM_014807 TMEM24 GGGACAAGTGCAGGTTTCTTACATGCATATATTGCATGCATAGAGGTGAAGTCTGGGCTT 1 314 55 NM_002632 PGF AATGTCACCATGCAGCTCCTAAAGATCCGTTCTGGGGACCGGCCCTCCTACGTGGAGCTG 3 293 56 NM_014717 ZNF536 TACAGTTCTGATGGCTTAGCAGCCTTTAACGGACTTGCAAGTAGCACAGCAAATTCTGGA 3 464 57 NM_016046 EXOSC1 AGTACAACCCGAATTCTTGCAGACCTAAGAAGCCACTTTTTACCCTATGGAAGGGGGTAA 4 228 58 NM_004724 ZW10 TATGTGGATTCTTCCCTTGGCATAATTACTCCCTTAAAGACTTCTTTGAATCGCCCATTG 3 310 59 NM_003169 SUPT5H ACACAAGATCCTCCTGCAGGGCTAGGCGGATTGTTCTGGATTTCCTTTTGTTTTTCCTTT 5 191 60 NM_017610 RNF111 ACTGTTGCTATGGTTATATACTCCCACTTCATACATTACCAAGAGTCGATCACTGATTTA 3 359 61 NM_004676 PRY ACCTCCTTCTCTTCTGGACATGTCCAGGAGTGGCCGTTGCTACAAGTCACCTGGTGCTAC 2 64 62 NM_016158 CAAAGAAGAACCCCCTTCATGTTCATTAATATTCTCCGCTCTTCTATACCCCATTGATAT 2 298 63 NM_001148 ANK2 CCCCATCCTCTTTAACTATAAAGCTAATTTGTGACCAAAGATGGCATCCTTCATACTGGA 3 179 64 NM_017630 CTTGATTCCAGTTGTAAGCCATTTCAGTTACTATAACTTTAAAATAGGCTTTTGACTGGG 1 454 65 NM_004121 GGTLA1 TCATCATCTCTGCTGTGGCCCAGGCCATCATGAGCAAGCTGTGGCTTGGCTTTGACCTGA 2 404 66 NM_002939 RNH1 TCACCCTGCATATCCTAGGTTTGAAGAGAAACGCTCAGATCCGCTTATTTCTGCCAGTAT 5 280 67 NM_004258 IGSF2 ACAGACCCCGGCAACTTCTAGATGAACCCAAGTGAACTTTCCTCATTACCATCCTGAAGT 3 65 68 NM_015582 TCTCTCATTTTCTCTTGTGGACCAGTTAGTTTTGCCCATAACGCAGTATTCTGAGTTTGC 5 323 69 NM_018275 FLJ10925 CAAGATTGCCAAGCGCGAGTGCAAGGTCCTGGTGGTGGAACCCGTCAAGTAGCACCGTGC 1 109 70 NM_016372 GPR175 ACATCATCGAGGGGCTCTGCTGTGTAGATGCCACAACCTTCCTGTACTTCAGCTTCTTCG 3 58 71 NM_012475 USP21 ACAAAGCCGGAAGTCCTGTATACCAGCTGTATGCCCTTTGCAACCACTCAGGCAGCGTCC 4 198 72 NM_014745 FAM38A TGGAGGAGGAGTTGTACGCCAAGCTCATCTTCCTCTACCGCTCACCGGAGACCATGATCA 4 411 73 NM_014841 SNAP91 TGCTGAGTTTCAAAGGGAGCCACCAGTACCAAACCCAATACTTACTCATAACTTCTCTTC 2 296 74 NM_002103 GYS1 TAGATCTGGAACCTTACCACGTTACTGCATACTGATCCCTTTCCCATGATCCAGAACTGA 3 159 75 NM_015725 PPAN AGTGTCATGGGCCTGCAGGGTGTCATCTTCAACGATGTCTATGCAGCTTCCAAGTTCGCC 1 94 76 NM_019109 ALG1 AGGTGTCCCCTTTCTGCCGTGTTCCTAACATTTTGATTCCTGTCTTGAAAAAAGCACCTG 5 20 77 NM_004625 WNT7A AGAACATGAAGCTGGAATGTAAGTGCCACGGCGTGTCAGGCTCGTGCACCACCAAGACGT 1 398 78 NM_006632 SLC17A3 ATCAAGAGGATTTTCGAGCATAGCACCTGTCATTGTACCCACTGTCAGCGGATTTCTTCT 2 420 79 NM_007284 PTK9L ATGAGGGCGACCCCCTTGAGTCTGTAGTGTTCATCTACTCCATGCCGGGGTACAAGTGCA 4 239 80 NM_000339 SLC12A3 GGCTGAGCACACCAAGAGGTTTGAGGACATGATTGCACCCTTCCGTCTGAATGATGGCTT 4 83 81 NM_013266 CTNNA3 GTGCCTATATGACAAAATCCTGCCTAACCACACTGCTTTATTTTACACTTAAGAAGTTCT 2 21 82 NM_017530 LOC55565 CTTCTAGGACTGTGGGGCCCCTGTGTGGCCCATGAAGTTGTGAAGTCAAATAAATTAATT 4 358 83 NM_006932 SMTN TGATGATCATGGGCAAGAAGCCTGACCCCAAGTGTGTCTTCACCTATGTGCAGTCGCTCT 3 278 84 NM_001686 ATP5B TCTGTACTTGTCTCTCTCCTTGCCCCTAACCCAAAAAGCTTCATTTTTCTATATAGGCTG 5 245 85 NM_014623 MEA1 CCAGAACCAGCACAGGACTGAACACATCCCTGGTTGTAATGTCCATTTCCATCTTCCCCG 5 248 86 NM_001051 SSTR3 ACCCCATCCTTTATGGCTTCCTCTCCTACCGCTTCAAGCAGGGCTTCCGCAGGGTCCTGC 5 15 87 NM_015911 ZNF691 CTGGCCTTTGAGGAAGTACTTATGAGATGGGTGTCACTGTCTGAAGGTTCTCCAAATTGT 2 336 88 NM_016258 YTHDF2 CAAGGTTGTGTCTTTAAGGGTGGTTCATTTTCTCTGACCTTTTGTTACTCAAAGTAAAGT 5 342 89 NM_013279 C11orf9 GTGTGCATAGAGCGCCCCCTACTTCCCAGTTAACTCCCAGTTCTTCTCCCTGAGCTTGGT 5 99 90 NM_012222 MUTYH CAGTGACACCTCTGAAAGCCCCCATTCCCTGAGAATCCTGTTGTTAGTAAAGTGCTTATT 5 121 91 NM_017595 NKIRAS2 CCCAGACAGGAAGCAGAGTCACCACGCAGCAGTGTCCCTTCTTGGGTCTGAGTTCCTATT 3 256 92 NM_018678 GATAATGCAGAGAGGTACCATCTTGATTTTCCCCAGTTACATTCACCTGGTCTGGTCTCT 3 269 93 NM_002408 MGAT2 TGTTTGTTAAACACCCTGTCAGAACAGTCATTTTCAGTATTAGATTCCTGTACTATTGTG 4 419 94 NM_003252 TIAL1 AAGGGCTATTCATTTGTCAGATTTTCAACCCATGAAAGTGCAGCCCATGCCATTGTTTCG 3 363 95 NM_000030 AGXT TGGCCAACTTCTGGGGCTGTGACGACCAGCCCAGGATGTACCATCACACAATCCCCGTCA 1 221 96 NM_017834 AAAGTTCCCTGGACACGAAGCCAGGAGATCTGTGTTCTAAGCCCAGACTCACTGTCACCT 2 286 97 NM_019609 CPXM TCACGCCCACACCAGATGATGCTGTGTTTCGCTGGCTCAGCACTGTCTATGCTGGCAGTA 3 352 98 NM_003928 CXX1 GTGCCTTTTGTTCAACACAGTAAGCCCTGCTCCCTTCCCTGCTCTAATACACTACCTGTA 5 2 99 NM_002896 RBM4 TTACGGGCATGAGAGTGAGTTGTCCCAAGCTTCAGCAGCCGCGCGGAATTCTCTGTACGA 4 157 100 NM_001181 ASGR2 CTCTGGCTAACCCATACCCCACACCTGCCCAGCTCTGGCTTCTCTGTTGAGGATTTTGAG 5 10 101 NM_006715 MAN2C1 TACCCACTACAATACCTCTTGGGACTGGGCTCGATTTGAGGTGTGGGCCCATCGCTGGAT 3 327 102 NM_001771 CD22 GGAAAGCCCAGAAAAGGACAGAAACGAAGTAGAAAGGGGCCCAGTCCTGGCCTGGCTTCT 2 246 103 NM_007259 VPS45A AGGTTTTCCCTACTAAACAAAGGTGTTGGAGAGCAGCTTTGGGTTCTGTGCTGGTTGTTA 3 375 104 NM_004356 CD81 GTTCGAGAGCCGAGTCTGTGGGCACTCTCTGCCTTCATGCACCTGTCCTTTCTAACACGT 5 312 105 NM_004205 USP2 AGGCAGAAAACGGTGTATAAAGAAGTTCTCCATCCAGAGGTTCCCAAAGATCTTGGTGCT 2 306 106 NM_004112 FGF11 AGTTAAGAAGACCAAGGCAGCTGCCCACTTTCTGCCCAAGCTCCTGGAGGTGGCCATGTA 1 77 107 NM_019045 WDR44 ATTTCAGTGGCTCTTTTGGCCTCTTACTAGGGGGGATAGTCTTGTTTCTAGCTTAAACAA 2 422 108 NM_018655 LENEP GCTTGGCACAGTGAGCCCACCAGCTCAGATGGTTGATCTTACCATACCCTCATAGTACCA 1 90 109 NM_003422 MZF1 GTGTGGCAAGGCCTTCCGCCAGCGGCCCACGCTCACGCAGCATCTGCGCACCCACCGACG 4 304 110 NM_000124 PGBD3 GCTAAACAACATTGCTTCCTAAACTTTCAAGTCCCTTTTTCTAACGGGCATTTCTGATTA 2 344 111 NM_005929 MFI2 CGACACCAACATCTTCACCGTGTATGGACTGCTGGACAAGGCCCAGGACCTGTTTGGAGA 2 283 112 NM_007008 RTN4 GCAGTGTTGATGTGGGTATTTACCTATGTTGGTGCCTTGTTTAATGGTCTGACACTACTG 5 432 113 NM_017738 C9orf39 CAGGGAGCAACAGATTTGTAGTATGAGCAAATATAAAATGAAGCATCATAACTTGAGCAT 2 459 114 NM_003590 CUL3 CAACTAGGATGTCTTGAAACCCGTGCATTTAATTTTAGAAATGGCAAATTTGTAAGCGTG 2 455 115 NM_006634 VAMP5 GGTGGTGGTTGGTGTCCTGCTCATCATCCTGATTGTGCTGCTGGTCGTCTTTCTCCCTCA 5 230 116 NM_014425 INVS TGTGTTCGGGGGAGCTGGCATAGCTAGTGCAGAGTTCAGATTTTCTGCTGATAATCTTTT 3 208 117 NM_001278 CHUK ACTTCAGCAGAACATGATCATTCTCTGTCATGTGTGGTAACTCCTCAAGATGGGGAGACT 1 390 118 NM_016486 TMEM69 TTACCACATTATCCCAACTGGTTTAAAGCCCTGAGGATAGTAGTCACTTTATTGGCCACT 2 371 119 NM_005883 APC2 TAAATAGTGGTAAATAGTGAAAGCCTGTCCTTCCCTAAATGTAAAGCCATCTGTCCGGCG 3 49 120 NM_007024 TMEM115 TGCTGGGGCTTTCCATGGCCTTCTGCTGTTTCTCGCCAACACTACCCAGGACTCTTGCTA 5 72 121 NM_001118 ADCYAP1R1 GATCAAAGGCCCTGTGGTTGGCTCTATCATGGTTAACTTTGTGCTTTTTATTGGCATTAT 4 122 122 NM_004285 H6PD GCTGGGCATGGGTGCCGACGGGCACACAGCCTCCCTCTTCCCACAGTCACCCACTGGCCT 4 18 123 NM_017547 FOXRED1 CCACCCGCTAGTTGTCAACATGTACTTTGCTACTGGCTTCAGTGGTCACGGGCTCCAGCA 5 307 124 NM_004720 EDG4 ATGGTTTAGGCTGTGAGTCCTGCAATGTCCTGGCTGTAGAAAAGTACTTCCTACTGTTGG 3 338 125 NM_014470 RND1 CAGTCGCTCTGAACTCATCTCTTCTACCTTCAAGAAGGAAAAGGCCAAAAGCTGTTCCAT 2 325 126 NM_020168 PAK6 GCAGGACTTGCCTGCCTCCTCCTCTCAGTATTCTCTCCAAAGATTGAAATGTGAAGCCCC 5 7 127 NM_014963 KIAA0963 CCCAAGACACAGGGACCGTTTCTCCCCTAGGAGCAGCGGTGGGGAGCAGGGCCAAGGTCC 2 328 128 NM_017880 FLJ20558 CCCTTGACAACTTTAAATGCTAGTTAGGCACTTAGATGGCCCTGTTCCTTGGTAAACTGC 3 30 129 NM_000267 NF1 TTTCCCCCCATGTTGTAATGCTGCACTTCCTGTTTTATAATGAACCCATCCGGTTTGCCA 4 59 130 NM_002217 ITIH3 GACACACCAGCTCCTGTTGGGATGGATGGCCCGGATTTTATGGCATCTGGAACATGGGCA 2 407 131 NM_006574 CSPG5 AGTGTGCGACCTCTTCCCAAGTTACTGTCACAATGGCGGCCAGTGCTACCTGGTGGAGAA 4 6 132 NM_000733 CD3E TATCCTGGATCTGAAATACTATGGCAACACAATGATAAAAACATAGGCGGTGATGAGGAT 3 463 133 NM_020232 TNFSF5IP1 GTGCCAGAGTCATTGTTCTTTCAAGCAGTCATTCATATCAGCGTAATGATCTGCAGCTTC 4 178 134 NM_020421 ADCK1 GCTGAGCACAAGAAGAAGAATACCTGTTCATTCTTCAGAAGGACCCAGATCTCTTTCAGC 1 387 135 NM_004643 PABPN1 GGGTTTGCGTATATAGAGTTCTCAGACAAAGAGTCAGTGAGGACTTCCTTGGCCTTAGAT 5 241 136 NM_003280 TNNC1 CAGCGGCACGGTGGACTTTGATGAGTTCCTGGTCATGATGGTTCGGTGCATGAAGGACGA 2 297 137 NM_001382 DPAGT1 ACATGACCCTCATCAACTTGCTACTTAAAGTCCTTGGGCCCATACATGAGAGAAACCTCA 3 265 138 NM_013259 TAGLN3 ATCTCAGAGTCAAAGATGGCTTTTAAGCAGATGGAGCAAATCTCCCAGTTCCTAAAAGCT 3 322 139 NM_005177 ATP6V0A1 CCCAAAGCCCTTTCATCTTCCCCGTGCATTGTAGATGGAAGGAGCACCCATGCCATTCAC 2 13 140 NM_021191 NEUROD4 CCTGGATAACCTGAGGCGAGTCATGCCATGCTACTCTAAAACCCAAAAACTTTCCAAGAT 2 118 141 NM_000078 CETP AGCTCTTCTTAAGCCTCTTGGATTTCCAGATTACACCAAAGACTGTTTCCAACTTGACTG 1 103 142 NM_002831 PTPN6 AGTACAAGTTCATCTACGTGGCCATCGCCCAGTTCATTGAAACCACTAAGAAGAAGCTGG 3 249 143 NM_000369 TSHR AGAGTATATGCAAACGGTTTTGTAAGTTAACACTACACTACTCACAATGGTAGGGGAACT 1 462 144 NM_016525 UBAP1 TGAAAGATTCTTCCAGGGTTTTATTTTTTCCCCTCCTAACAAAGTCTCATAGTGTTAACA 3 243 145 NM_014027 TATTTTAACTCTTTGCCCCTACAAACAAACAGCAGTACTTGCCAGAACCATTCTTGGGAT 3 277 146 NM_000082 ERCC8 ACTATGCTTAAGGGACATTATAAAACTGTTGACTGCTGTGTATTTCAGTCAAATTTCCAG 1 417 147 NM_020806 GPHN GTAAGAAAAATAATCTTTGCACTACCTGGGAATCCTGTATCGGCTGTGGTCACCTGCAAT 1 164 148 NM_018485 GPR77 GTGGCGGATTTGCTGTGCTGTTTGTCTCTGCCCATCCTGGCAGTGCCCATTGCCCGTGGA 3 42 149 NM_018319 TDP1 CATTGAGCCACAAACATGGAATCTCTTCTTTGTACTGGATGTCCACTTCCCTTAAAGTCT 4 332 150 NM_016202 ZNF580 TGAACCGGTGGTTGTCTGCGGGGAAGAGATGATAAAGAGCACGGGCACGGTCTGGTTCAT 4 426 151 NM_015590 GPATC4 GGATGATTATAACGGGTGGTCTCCTTAGAAAGGCTCCTTATCTGTACTCCATCCTGTAGA 3 34 152 NM_017685 TGAGTTTCTGCCTTGCCATCCAATTAGCTGTGTGATAAACTTCAGTTTTCTCATTTTTTA 1 48 153 NM_001288 CLIC1 ACTCCTGAAAGCCCTGAAGGTTTTAGACAATTACTTAACATCCCCCCTCCCAGAAGAAGT 5 149 154 NM_014516 CNOT3 GCAGGGCACCTACATCTACTTTGACTACGAGAAGTGGGGCCAGCGGAAGAAGGAAGGCTT 2 317 155 NM_001922 DCT CCCTATTGGTCACAATCGGATGTACAACATGGTTCCTTTCTTCCCTCCAGTGACTAATGA 3 88 156 NM_004401 DFFA GATATAGCTGCACCAACAATATCCCGCCTCCTCTAATTACATATGATGTTCTCTGTTCAA 5 252 157 NM_018052 VAC14 CCACCCAGTGGGGGGCTATAGCCTCAGAGACCACTCATCCTCTGGAATCAACCTCTTTCT 4 403 158 NM_017950 ATGCTATATAGCCTTTTTTATATTGCCTATCAAGCCCGGAATGTCTGGGTCTAGCGGGTA 2 341 159 NM_014757 LTC4S ATGGCTTTATTTATGAACCTGGTTTTCGGGAGTCAGGGGAGGAGATGACTTTGCTTCTGT 3 169 160 NM_002212 ITGB4BP TCACCTTCCAAGTTGTTCCATGGGCTCCTGGCTCTGGACTGTGGCCAACCTTCTCCACAT 5 201 161 NM_015909 NAG AGGATTGGGGAATGAAGTTTTGAAAATGTGTCGCTCTTTGTATAACACCAAGCAGATGCT 5 377 162 NM_006269 RP1 ACCTCTAAGAATTTTCCACTTCTTCAAAATGAACTTACTCTAGAAAGCTTACCCTTGGAT 2 434 163 NM_019108 FLJ12886 CTACCCCCACCTAGTCTTCTTGCAGAACAAAGCTCGCCGAGAGGACTTCTGTCCTCGGAA 4 181 164 NM_014649 SNRPE CAGGGTTCCCTCGAACTTGGGGGATCTTTTTAAAAGCAAAGTAAATCCTGCCACCATGTT 5 225 165 NM_003830 SIGLEC5 AAAGAAAACAGATGATGGAATTAGAGAGGTGGGCTCAAATCTAGGCCCTGGCACTGTCAT 3 425 166 NM_001988 EVPL AGCCTCATCCCAGGCAGTGGGTCTTCCCTCTGTCCAACCACTGTTTTATTATTTTACTAA 4 128 167 NM_001842 CNTFR CCCAGCCTCCTGTCTATCCCAGGGTCTCTGTTGCCACCATCAGATTATAAGCTCCTGATG 5 9 168 NM_006225 PLCD1 CAGCCTCTTGCTCAGAGCTAGGCCCCCAAATTGCCTTCAGCCCTAACATAGTGTCTGCTG 4 234 169 NM_019888 MC3R CTGGAGACCATCATGATCGCCATCGTCCACAGCGACTACCTGACCTTCGAGGACCAGTTT 2 104 170 NM_004257 TGFBRAP1 AAATCCCTTTTGTGAGCCTGTGTTTGTTAGATACCCAAATGGTGGTCTTGTGCACACCCA 4 92 171 NM_001514 GTF2B TGTTACAATCAGACAGTCCTATAGACTGATCTATCCTCGAGCCCCAGATCTGTTTCCTAC 2 439 172 NM_020410 ATP13A1 CTCACCGTCATGCTCCAGTTCTTTGTGCACTTCCTGAGCCTTGTCTACCTGTACCGTGAG 3 74 173 NM_016615 SLC6A13 CCATCTTCGAGTCCCTCTGTGTGGCTTGGGTTTACGGAGCCAAGCGCTTCTACGACAACA 2 37 174 NM_005453 ZBTB22 CCCGGGTGATCTCCCACCACACTTACTGTCTTCCTTTATCTCTGTGGACTTGTATATATT 3 102 175 NM_016154 RAB4B GCGTGGAGTTTGGATCCCGGGTGGTCAACGTGGGTGGGAAGACTGTGAAGCTACAGATTT 3 258 176 NM_006653 FRS3 AAGGCATGGAGGTGGGACCAGATGCTTCCCTGTGCTGGCTGGAGTCCCCAGAGATATCAG 5 68 177 NM_003427 ZNF76 CTACTTGGCACCAGGGACTTCCTGACACCACAGTCAATTAATTCCTCAGGGGCCTGTGGC 4 173 178 NM_007185 TNRC4 TTTTGGCTTTGTGAGTTTCGACAATCCGGCCAGTGCCCAGGCTGCCATCCAGGCCATGAA 2 43 179 NM_006246 PPP2R5E CCCTGTTTTTAGCCGGAAAGGATTCAGGATAAACATTATTATGCATTCTGAATTGGATGC 5 409 180 NM_001088 AANAT CCTATGTCCAGAGCTGTCCCTGGGCTGGTTCGAGGAGGGCTGCCTTGTGGCCTTCATCAT 4 19 181 NM_000200 STATH GAAGAAAATTCCATGAAAAGCATCATTCACATCGAGAATTTCCATTTTATGGGGACTATG 2 458 182 NM_005489 SH2D3C GCACAGTGGCACACCACGGAGGCCTGTACCACACCAATGCTGAAGTCAAGCTGCAGGGGT 5 343 183 NM_003664 AP3B1 TTTACTGTCAGTTGTCTCAACTCTTGAATCCATGTGGCGTTTTCTCTGTCCTGCTGCTTC 4 350 184 NM_005290 GPR15 CCCTTCAATACTTTCAAGTTCCTGGCCATTGTCTCTGGGTTGCGGCAAGAACACTATTTA 2 47 185 NM_006400 DCTN2 TGTTAACAGCTTACATAGGGTTTCCCCTTTACTATAACTCTAGCATCCCCATCCCATTTG 5 158 186 NM_003923 FOXH1 GCTGGCTGCTCTCCTGGTGCAGCCTGTGAGGCTCTTAAGACAGGGGCCGCTCCTCCCTCC 4 321 187 NM_003749 IRS2 GGTCTCAAGTACATCGCCATCGACGTGAGGGAGGAGCCCGGGCTGCCACCCCAGCCGCAG 1 141 188 NM_014299 BRD4 TCCATTGTTCCGTGCATTTCCAAAGCTTAAGTTGCTGGTGGGCATTTCCCCAGTTTCTAT 1 66 189 NM_004182 UXT CAGTGGTCCCAGATACTTCACGCATCTATGTGGCCCTGGGATATGGTTTTTTCCTGGAGT 5 240 190 NM_013370 OKL38 TGGTGTTCAACCAGCTGCCCAAGATGCTGTACCCCGAGTACCACAAGGTGCACCAGATGA 2 267 191 NM_017840 MRPL16 ATATAGGCTACTGAAAGAAGGATTCTGCATTTCTATTCCCCTCAGCCTACCCACTGAAGT 5 311 192 NM_003581 NCK2 CAGCTACAACGGGCAGATCGGCTGGTTCCCCTCCAACTACGTCTTGGAGGAGGTGGACGA 4 275 193 NM_000482 APOA4 ACGTGGAAGGCCACTTGAGCTTCCTGGAGAAGGACCTGAGGGACAAGGTCAACTCCTTCT 1 368 194 NM_016362 GHRL ACAAGCCTTACTCACCTCTCTCTAAGTTTAGAAGCGCTCATCTGGCTTTTCGCTTGCTTC 2 272 195 NM_014387 LAT TACCCCCAGAACCAGCCTGTGAGGATGCAGATGAGGATGAGGACGACTATCACAACCCAG 2 127 196 NM_002248 KCNN1 GTTCCTCCAAGCCATCCATCAGGCTCAGAAGCTCCGGAGTGTGAAGATCGAGCAAGGGAA 2 46 197 NM_007375 TARDBP CCCATAAGAATGCTGTTTGCTGCAGTTCTGTGTCCTGTGCTTGGATGCTTTTTATAAGAG 5 412 198 NM_002991 CCL24 GCTCTGTGGTCATCCCCTCTCCCTGCTGCATGTTCTTTGTTTCCAAGAGAATTCCTGAGA 5 36 199 NM_004832 GSTO1 CTTCTTTGGTGGCAATTCTATCTCTATGATTGATTACCTCATCTGGCCCTGGTTTGAACG 5 355 200 NM_006191 PA2G4 TGAATTTGTTGCCCAGTTTAAATTTACAGTTCTGCTCATGCCCAATGGCCCCATGCGGAT 5 289 201 NM_005201 CCR8 CTACTGCTGCCTAGTTACCATGAACACGTTTTTTCACTATTAATGGTGCGTCATATTTTT 1 187 202 NM_005474 HDAC5 CATGACTTGACCGCCATCTGTGATGCCTCTGAGGCTTGTGTCTCGGCTCTGCTCAGTGTA 4 313 203 NM_020129 LGALS14 TACACTGGGATGGATGAGGACTCAGATATTGCTTTCCAATTCCGACTGCACTTTGGTCAT 1 349 204 NM_001619 ADRBK1 GTGCCTGATTCGGCTGTCTCAGACTCTTTTTGTACCTGGTGACCCCTTTTCAGCTTCTGC 2 17 205 NM_006686 ACTL7B CTGGGGGTGACCTCACCAACTACCTGATGCAGCTGCTCAATGAGGCGGGCCACGCATTCA 1 175 206 NM_017883 WDR13 CCGGGATCCCTCACTGCTCATCAATGCTTGCCTCAACAAGTTGCTGCTCTACAGGGTGGT 5 270 207 NM_003040 KCNH2 CTCCGCATGGTGGTGCTCACCCGTATCTTCACCGACCGAGAGATGAAATGTCTGGATGCT 4 144 208 NM_007351 MMRN1 GCTTGCATTTGAGTCTGAAAATATTAACAGTGAAATACACTGTGATAGGGTTTTAACTGG 1 460 209 NM_002191 INHA CACCATCATCAGCTGGGAGGAAAGGCAGAGTTGGGAAATAGATGGCTCCCACTCCTCCCT 2 357 210 NM_005912 MC4R TTCTATGCTCTCCAGTACCATAACATTATGACAGTTAAGCGGGTTGGGATCATCATAAGT 1 51 211 NM_001503 GPLD1 CACCATCTCTTGCCAGGACATCTACTGTAACTTGGGCTGGACTCTCTTGGCTGCAGATGT 2 4 212 NM_015936 TGGACGAGAAGGATTGGATTCTGCTAAAAGGTGTACACAAGCCCTTTATCACAGTAGCAT 4 401 213 NM_019612 IRGC CATCCCTGTGTTTGGGACGCTGGTGGCTGGCGGCATCAGCTTTGGCGCTGTCTACACCAT 3 137 214 NM_001643 APOA2 CCACTGGCCAGTCCTAGAGCTCCTGTCCCTACCCACTCTTTGCTACAATAAATGCTGAAT 5 255 215 NM_006858 TMED1 TACTGTAAATGTGCCTTAGCCTAAGCCTCCCATCCTGTGTTAGCGTTGCCTGGTGCGGGG 5 84 216 NM_018687 LOC55908 CTGAATCTGCCTGGATGGAACTGAGGACCAATCATGCTGCAAGGAACACTTCCACGCCCC 1 370 217 NM_021049 MAGEA10 CTCCCCTGACCCAGAGTCTGTGTTCCGAGCAGCACTCAGTAAGAAGGTGGCTGACTTGAT 4 89 218 NM_005029 PITX3 GACCAGCTCCCCGGGGGCCAACTCACCCTTGGCCCATCCCGCCTTCTCCAGGCTTCCCCT 5 279 219 NM_005759 ABI2 TTGGTATGAGGGAGTTATGAATGGAGTGACTGGGCTTTTTCCTGGGAATTACGTTGAGTC 3 282 220 NM_003198 TCEB3 TGGCCAAGACAATTAAAGCTTTCAAGAACAGATTCTCCCGACGATAAACTGAGGACTTGC 3 333 221 NM_004979 KCND1 GCAAGAGCTGGGCTGTATTTGGAGATCATGGGCTGATTCCATGTTCTTGGGCAACAGTCC 4 130 222 NM_000245 MET AAAGCAACAGTCCACACTTTGTCCAATGGTTTTTTCACTGCCTGACCTTTAAAAGGCCAT 1 22 223 NM_018381 PPAN GCATATTCTCTCAGGAAGGCCGCCATGCTCATTCGGCCCGTGAAGCTGTGACTCTGTGTT 1 69 224 NM_000040 APOC3 TTAAGGACAAGTTCTCTGAGTTCTGGGATTTGGACCCTGAGGTCAGACCAACTTCAGCCG 1 309 225 NM_003631 PARG TGGTGCTTGAGGCATATTCATATAACCAAAGTTTGAGAACTGGGAACTTCATGCTGATTT 3 440 226 NM_001487 BLOC1S1 AAGGAAATTGGGGATGTGGAGAACTGGGCTCGGAGCATCGAGCTGGACATGCGCACCATT 4 324 227 NM_017820 FLJ20433 ATCCTTTCTGTGCTGCTTTAGGCATCTGCCCTTACGTGGTTCGTGTCCAGCTCTGTCAAC 2 98 228 NM_014593 CXXC1 CTGCTACGCCAAGTATGAGAGCCAGACGTCCTTTGGGTCCATGTACCCCACACGCATTGA 3 301 229 NM_014977 ACIN1 TACTTACAGCCTTCTCTTGGGAACAGCCGGGGCCAGGACTGGGTCACCTATGAGCTGAAT 4 291 230 NM_014847 UBAP2L GTGTATAAATTTGCACTGAAGTCTTGTTTCAGAAACCAGACCACTGAGGAGAGCCTGCTG 3 395 231 NM_005011 NRF1 GGAATTGCATTTTTTAAAGCACCACTCTTGATTTTCTGGGATTGGTGAAGAAACTGCATT 1 290 232 NM_018111 FLJ10490 CTGTTCTCAGACTCTGGAAAAGGCTTCTCAACGGCTTGGCCTGACCTCAGCTCCTCGCAT 2 185 233 NM_007278 GABARAP TCAGCTGTACCAGGAACACCATGAAGAAGACTTCTTTCTCTACATTGCCTACAGTGACGA 5 214 234 NM_000606 C8G TACTTCCCCAAGTACGGCTTCTGCGAGGCTGCAGACCAGTTCCACGTCCTGGACGAAGTG 2 438 235 NM_006481 TCF2 GGGTGCATGTGAGGATGAAAGGAGTGAATGTATAAAGACACCTTTCCCGATAACCCATAC 2 415 236 NM_004554 NFATC4 CTGCTTGCGAAACTCCTTACCTATCAGAAGGCTTCGGCTATGGCATGCCCCCTCTGTACC 2 237 237 NM_006463 STAMBP TGTTTATATTTACCTCTGGGCTCAATAAGGGCATCTGTGCAGAAATTTGGAAGCCATTTA 4 362 238 NM_003952 RPS6KB2 AAACTCTACCTCATCCTTGAGTGCCTCAGTGGTGGCGAGCTCTTCACGCATCTGGAGCGA 2 253 239 NM_005164 ABCD2 TGTCAGCATTGATGTCGAAGGAAAGATATTTCAGGCTGCAAAAGGGGCTGGAATTTCCTT 1 366 240 NM_017749 RPS10 GGCTTCGGCAACAACATCATCGTCAGCCACCGCATTCACCGCAGCTCTCAGACGGGCACT 2 75 241 NM_014482 BMP10 TTGGTGTCTGGGGAGATATATGGAACCAACAGTGAGTGGGAGACTTTTGATGTCACAGAT 1 264 242 NM_006543 TCTGCAGGTTGCTCTGCACTTGCAACATAAGCCCAACCACATCAATTGCTGCAAAACAAA 1 444 243 NM_001169 AQP8 CGAACGGTTTGTGCAGCCATGTCTGGTCGAACTGCTGGGCTCTGCTCTCTTCATCTTCAT 2 180 244 NM_017986 GPR172B ACTGCAGGGGTGGTCCTTGTGGTGCTGTCGTGGGTGCTGTGTCTGTGTGTGTTCTCATAT 5 93 245 NM_005439 MLF2 TCCTACTCCTGCCATGCATTGAAGGGTCAATGCATTTTGGGGTGAGCTCTGGGTTTAGGG 4 197 246 NM_003227 TFR2 ACAGCAGTGCCTATTCCTTCACGGCCTTTGTGGGAGTCCCTGCCGTCGAGTTCTCCTTTA 2 396 247 NM_012320 LYPLA3 CAGGACTGAAGCTGCCTCCCTTCACCCTGGGACTGTGGTTCCAAGGATGAGAGCAGGGGT 5 12 248 NM_015879 ST8SIA3 TGAAGCCACATGGTTTAGACTTGATTGATAAAGGGAATGTTGCATTTGGGACTATGCTGC 3 427 249 NM_016151 TAOK2 GTCACTCTGTGTTCTCCTGGCGCTCCTCCCCTAAGTTATTGCTGTTCGCCCGCTGTGTGT 5 119 250 NM_004193 GBF1 TTCCTCTTTTACTAATTAGTTGGTCAGTTTGGAGAGTTGACTGGCACCATGGAGGGTAGG 4 171 251 NM_000721 CACNA1E CCCCCCTCCGATGCATGCTCTTCTCTCACATGGAGAAAACCAAGACAGAATTGGGAAGCC 5 424 252 NM_003322 TULP1 ACCGTCATCATTCCTGGCATGAGTGCGGAGAACGAGAGGGTCCCCATCCGGCCCCGAAAT 3 374 253 NM_016327 UPB1 AAGTGTGGCAGGCTTAACATGTCCAGGTTCTCCCCAATAACATTGTCCAGGTTGGTTTTA 3 50 254 NM_000678 ADRA1D TGCTGGTTCCCTTTCTTCTTTGTCCTGCCGCTCGGCTCCTTGTTCCCGCAGCTGAAGCCA 5 117 255 NM_016284 CNOT1 ATTAATTAATTGTTCTCCCCCATTACCCCACTGAATGAATGGCCATACAGGCTAAGCTGA 4 33 256 NM_000564 IL5RA AGGATTCTGTGTTTTGACTGTCACTTTGGCATCCTCTGATGAACTCACACATGCCTCAGT 1 150 257 NM_016451 COPB1 AAGCTTTACAGTTAATTTAGGTATGGGCTTACTGGACTCCAACATCTTTTGTACTCTTTC 5 456 258 NM_005171 ATF1 ATCAGGAGATATGCAAACATATCAGATCCGAACTACACCTTCAGCTACTTCTCTGCCACA 2 281 259 NM_004687 MTMR4 GTGAATTCTGGTTGGCCAAACGAAGACACCATTGCAGAAATTGTGGGAATGTATTTTGTG 1 443 260 NM_003420 ZNF35 GGGGTAGCAGTTCAACAATTCACTTACGAATGTTTATAAGCTTTCCATTTCCTAGGTAAT 2 299 261 NM_014341 MTCH1 ACTACTCAGAATGTGTCCTCCTCATCTAATGCTCATCTGTTTAATGGTGATGCCTCGCGT 5 394 262 NM_021232 PRODH2 TGCCAGGATGCCGAAGGATACCCCACTAGCACCCCTGAGGGGGTCATGTGGTCAATAAAA 1 364 263 NM_000915 OXT GCTGCGCGGAAGAGCTGGGCTGCTTCGTGGGCACCGCCGAAGCGCTGCGCTGCCAGGAGG 1 101 264 NM_003921 BCL10 TGAGAATAGACCCTTACTAGGAAGAACGTTTTTTCCTCAGTGCATTTGTGCTAGAAATTT 4 360 265 NM_000511 FUT2 GATGTGGTGTTTGCTGGCGATGGCATTGAGGGCTCACCTGCCAAAGATTTTGCTCTACTC 2 85 266 NM_002044 GALK2 AAAGTTTGTTTGCTACCAAACCTGGAGGTGGGGCTTTGGTTTTGCTTGAGGCCTGAAAAA 4 320 267 NM_007254 PNKP GGGGCGGAAGAAGAAAGACTTCTCCTGCGCCGATCGCCTGTTTGCCCTCAACCTTGGCCT 3 215 268 NM_002802 PSMC1 GGAGTTGCCCAGAGGAATCCCTGTTCCCACTGATTTTTATTAGCAAAACATCCTGTGTCT 5 373 269 NM_015607 C1orf77 GCGTGTTGGGTTGAATTGCACTTTCTACCTTTGTATGAGATTTACAGACTTTCCTTCTGG 4 316 270 NM_016464 TMEM138 GCAAGGAGTTCATGCAAGTTCGAAGGTGACCTCTTGTCACACTGATGGATACTTTTCCTT 3 423 271 NM_002602 ARL16 TGGAATGGAAGGCCTGGGAACAGACATCACAGTCATCTGCCCTTGGGAGGCCTTCAACCA 4 28 272 NM_018316 KLHL26 TCCTTAGGGGCTTGGGACCTTCCATTTGGCACTGAGCATCTTGTGGGGCCTTAACTGGCT 2 16 273 NM_021176 G6PC2 AAATAACTACACACTGAGCTTCCGGTTGCTCTGTGCCTTGACCTCATTGACAATACTGCA 1 29 274 NM_018113 LMBR1L AGAGTTTGGGACCAGGACCTCCTGCTTTTCCATACTTAACTGTGGCCTCAGCATGGGGTA 3 216 275 NM_013289 KIR3DL1 GCCACAAATCTGGTGCCTCTCTCTTGCTTACAAATGTCTAGGTCCCCACTGCCTGCTGGA 5 3 276 NM_018081 WDR79 TGTGTTTCCTGAGCCCACAGAGAGTGGGGACGAAGGAGAGGAGCTGGGCCTTCCCTTGCT 3 251 277 NM_006663 PPP1R13L AGTCACTGCTGACACCATCTCTCCCAGCAGTCTTGGGGTCTGGGTGGGAAACATTGGTCT 4 302 278 NM_020131 UBQLN4 TGAGTAAAAGGCTTGGAAGTTGGAATTAGCAGTGGGGAGCAGAAGCACTCATAGCTCTTT 2 365 279 NM_012278 ITGB1BP2 ATTGAGCAGCAGGAGGCTGAAGGAGGGGAGAACAAAATTGTCCAAACCATGCTGTTTTTT 2 262 280 NM_013365 GGA1 TCTGTCCATCCATCTGTCCGTGGTCAGAAGTGGGGTCAGTGTGTGAGTGAGAGCAGGAGT 5 238 281 NM_003461 ZYX GAAGCCCCTGTCGATTGAGGCAGATGACAATGGCTGCTTCCCCCTGGACGGTCACGTGCT 4 206 282 NM_003347 UBE2L3 GCACCGGGCTGGCGTTTCCACATCTGTCTTCATTAGCAGAAAAGTGATGATGGATTTTAT 5 254 283 NM_001923 DDB1 GTGTATGTGTATCTCACACTCATGCATTGTCCTCTTTTTATTTAGATTGGCAGTGTAGGG 5 205 284 NM_018654 GPRC5D TGAGAACTGGAAGCAGCATGGAAGGCTCATCTTTATCACTGTGCTCTTCTCCATCATCAT 1 11 285 NM_014671 UBE3C ACTTCATTCATTGTCCTATTTCTATCTCCACTTTGTGCCTGGAGAGCTTTCAGGGGAGGT 4 151 286 NM_002365 MAGEB3 GTGATCTGTTGCAAGATAACTTGGAATTAGAATAAGCATTTCCTTGAAAATGTTTAAAAA 1 465 287 NM_016465 TGCCTGCATTGTATCTCCATCTGGTCACTGCAGGTGCCAACCCTTCATCCCCCATGTTTT 3 56 288 NM_004718 COX7A2L TAGGAAGATATGAAGATGATGTTTTGGTTTGTTTATGAAATGCATATGGCTTGTCAGAGC 4 392 289 NM_005095 ZMYM4 TAGTCCCCACTATACGAATTTTATGGTTTGTATAAACACTAACATTTTCCCCTTCTGTAG 2 437 290 NM_004604 STX4 ACACTGGCCCCTATGCAGAAGGGCAGACAGTTCTTCTGGGGTTGGCAGCTGCTCATTCAT 5 211 291 NM_006012 CLPP TTGCTGGGCTTGGAGGGGCCTCTTGAGGAACTTTTAATTTGCAGGGGTGCCCGCTATGGA 5 315 292 NM_001704 BAI3 ACAGTGTGACTATCTTATGTCAGGACCTTCATGTGCCAAACGTCAGTGGTGTTTTCATAT 1 451 293 NM_004157 PRKAR2A CTGCATGGACATCATGAAGAGGAACATCTCACACTATGAGGAACAGCTGGTGAAGATGTT 1 346 294 NM_017925 DENND4C ATATTGAAGATTTTCAACCCCTGAACTGCTTTTCTGCCTCTGTGGAAAACTACTTTGGGA 4 418 295 NM_004868 GATCGGTTTCGCCATCATGACGCAGTGTCTCCCAGTGGCCCTGTTCTCCCTGGTGGGCTT 5 271 296 NM_004966 HNRPF ATGGGTGGCTATGACTAGTTTTGTTAGGAACATTTGAGTTACTTCAATCATTTTCACAGG 5 202 297 NM_016239 MYO15A GAAAAGCCTTCTTGGAAAATGGGACATTAGCATTGAGTTTTGAAAGATGAGTAGGAGTTT 1 457 298 NM_005373 MPL GCTTTATGCAACTAACTGTTTACATATCTGTCCCCTGCTACTAGATTGTGAGCTCCTTGA 4 105 299 NM_000253 MTTP AGCTCCATTCAGGCAATTTGAGAAAAAGTACGAAAGGCTGTCCACAGGCAGAGGTTATGT 1 145 300 NM_020394 ZNF695 AGAAAACCTTCCGATGTGAAGAATGTGGAAAGGCCTTTAACCAGAGCTCACATCTGACTG 1 416 301 NM_001296 CCBP2 TCGGGAACTGTGAGGTCAGCCAGCATCTAGACTACGCACTCCAGGTAACAGAGAGCATCG 1 193 302 NM_017624 AGGAAGAGACTATGCTGTTCACTCTGATGACCCCAGGACCCAGGAGTGTTCTCCCTGCGT 2 124 303 NM_014801 PCNXL2 TTAGAACCTGACCTCAAGGATATGGCAGCGCTAGCCTTTAGCTCCCACAGCACGGATGGG 1 448 304 NM_016501 TGTGATGCTGTGTCTGTATATTCTATACAAAGGTACTTGTCCTTTCCCTTTGTAAACTAC 5 165 305 NM_018035 FLJ10241 AATGGATTTCCAGTCAATTCAGAAGCATTTTACCAGTGAAGCCCTCATTATTCCAGTTCA 5 223 306 NM_000185 SERPIND1 CCCTCATCTGAATACCAAGCACAGAAATGAGTGGTGTGACTAATTCCTTACCTCTCCCAA 1 247 307 NM_004489 GPS2 TGCAGTGCAGTACCTATCTCAGCCACAGCCACAGCCCTATGCTGTGCATGGCCACTTTCA 3 166 308 NM_006445 PRPF8 CCAGAACACAGACAAGGGCAACAACCCCAAGGGCTACCTGCCTTCACACTATGAGAGGGT 5 329 309 NM_005477 HCN4 GAGTGGCCAGTGTTGGCGGTTCTTAGAGCAGATGTGTCATTGTGTTCATTTAGAGAAACA 2 31 310 NM_005858 AKAP8 CTTCTTGCCCAGGTTTCAAAGCTGAAGTACATTGTCCTTAGCGGCTGTAACATGTCTCTT 4 353 311 NM_006196 PCBP1 CCCTTTCTGCTGTTCTCCCATGATCCAACTGTGTAATTTCTGGTCAGTGATTCCAGGTTT 5 126 312 NM_000119 EPB42 ATAATAACCATCGGCCTGTTCTTCTCCAATTTTGAGCGAAACCCACCCGAGAACACCTTC 2 25 313 NM_014139 SCN11A AAGAGAAGTTCATGGAAGCCAATCCTCTCAAGAAGTTGTATGAACCCATAGTCACCACCA 1 287 314 NM_006093 PRG3 CTCAGGGGCTGGTTCCTGTGGAAGCGGTTTTGCTGGACTGATGGGAGCCACTGGAATTTT 2 110 315 NM_003476 CSRP3 TATGTGTTTCTCCTCAGAAGTGATCAGGTCTTTACTGAATGTTAGAAGAGGCCTTTGGAA 1 429 316 NM_018356 C5orf22 CTTCCTGAGTCACTCTTAATCATGAAACTTGATTTTCTCAATTGGCCAGTCTTCTGATCT 1 266 317 NM_005379 MYO1A CTCCTGTGTGGGAGGATCTCTAACCCCTCTGATCGTGGCGCATGGCTTGGGGATTAAACT 3 23 318 NM_019055 ROBO4 AGTGGCTGTGGATAGCTTTGGTTTCGGTCTAGAGCCCAGGGAGGCAGACTGCGTCTTCAT 3 203 319 NM_005199 CHRNG CTTTGACAATGGGAATGAGGAGTGGTTCCTGGTGGGCCGAGTGCTGGACCGCGTCTGCTT 5 441 320 NM_002005 FES GTGTCCTCTCTGTGTCCCTGCTGCTGCCAGGGCTTCCTCTTCCGGGCAGAAACAATAAAA 5 52 321 NM_002967 SAFB GGGGCATGATGGACAGGGATCACAAGAGGTGGCAAGGTGGCGAGAGAAGCATGTCCGGTC 5 176 322 NM_001868 CPA1 GGAAGCACTATTGACTGGACCTACAGCCAGGGCATCAAGTACTCCTTCACCTTCGAGCTC 2 106 323 NM_015340 LARS2 CATGTGGTCCCCCTGCAGTTCAGCAGTTAACAGATGACTTTTTTAGTGTAATAAAATGTT 5 71 324 NM_000229 LCAT CCCTGCACGGGATACAGCATCTCAACATGGTCTTCAGCAACCTGACCCTGGAGCACATCA 2 263 325 NM_002779 PSD CGGAAGCCCTGAGATGAGGTTTAGGGTGGGGAGTGCCTGCTGGGCACCTGAAGGATGACA 3 155 326 NM_005285 NPBWR1 ACCACCTGAGCACCGTGGTGGCGCTCACCACCGACCTCCCGCAGACGCCGCTGGTCATCG 5 433 327 NM_006105 RAPGEF3 AGACATGACCTTCATTCATGAGGGAAACCACACACTAGTGGAGAATCTCATCAACTTTGA 1 449 328 NM_007242 DDX19B AAACGTTATCAAACTGAAGCGTGAGGAAGAGACCCTGGACACCATCAAGCAGTACTATGT 3 224 329 NM_012418 FSCN2 ATGAGCTCTTTGATCTGGAGGAGAGTCACCCACAGGTGGTGCTGGTGGCTGCCAACCACC 1 186 330 NM_001291 CLK2 ACCTGTGAATATGTGAAATAGTGTAAATATGAAAGAACTTGTACCTATCACTTCAACCCC 4 381 331 NM_013359 ZNF221 AGTGGAGAAAAGCCATTGAAATCTGGAGTGTGGGAAGAGATCTACTCAGAATTCACAGCT 2 435 332 NM_014706 SART3 TTTAGACAGAAAGGGGAAGGGGTTCTAAGTCAAGAGCCTTTCAGTGCTCCCTCATATTGA 3 111 333 NM_006789 APOBEC2 ACAGCCTCAGACCCGAGGTTTAGATTTCTGAAATATGCATTTTATGTTAAGTTGGGTATT 1 139 334 NM_000718 CACNA1B CACCTACAAGACGGCCAACTCCTCACCCATCCACTTCGCCGGGGCTCAGACCAGCCTCCC 4 61 335 NM_016630 SPG21 AGGCGGCATCTCCACTAAGCCTGTGTAACTGTTCCCTCTTTGGTTTTCTTAGCTTTTGAA 5 147 336 NM_013344 GTGGTAAATGTGATTTGGAAAACCAAAGAGACATGATGGTGGAGAATAAGGAGAGTTGTC 1 461 337 NM_003833 MATN4 TTGAGCTGAGTTGGCCTCGCCCGGACCATTAGGCGGACTGCGGCGTCAGGGGGATAGCGG 3 372 338 NM_018263 ASXL2 TAGGAATACTCCTAAAACAGATATTGCCAACTAGATACACTGCCTCAATCTTGACCAGAC 4 391 339 NM_000513 OPN1MW GGTCTCTGGTCTCTGGCCATCATTTCCTGGGAGAGATGGATGGTGGTCTGCAAGCCCTTT 3 73 340 NM_015848 KRT8 AAGATCTCCAGACTGCTGGTTCCCAGGGAACCCTCCCTACATCTGGGCTTCAGATCCTGA 2 79 341 NM_005626 SFRS4 GAATTGATGCCCTTCGATGTATGCCATTTAGTGAAAGTGCTAAGTCTTAAGTTTCCTACC 4 226 342 NM_002696 POLR2G TGTGGACAAGAATGACATTTTTGCTATTGGCTCCCTGATGGACGATTACTTGGGGCTTGT 5 345 343 NM_004767 GPR37L1 CCTCTGCTGCCAATGGGTCGGACAACAAGCTCAAGACCGAGGTGTCCTCTTCCATCTACT 4 385 344 NM_005934 MLLT1 TACACCGGAGGCTGATGGCGCTGCGGGAGCGCAACGTGCTGCAGCAGATTGTGAATCTGA 1 194 345 NM_006308 HSPB3 TTCCTGTTCAGATGACATGGGGAAGATGATGGTTCAGCCACTGGTACTACGAGAATGTTT 1 172 346 NM_005886 KATNB1 AGCCCTGAACTCTTGAGACAACTCTCTCCAGCAATAGCTGCCCAGCTTTGCCCAACTGTT 4 288 347 NM_014481 APEX2 TTACACCACTTTCCACCTTCCTGTCCGAAGTACACGGACACTAGCTGCCCCAGGAAGTTG 4 115 348 NM_001538 HSF4 CTTTAACCATTTATAGCACTCCTGAGAGCCGGACTGCCTCCTACTTGGGCCCGGAAGCCA 2 192 349 NM_004173 SLC7A4 TCTGCCTCATGCTGAAACTTAGCTATCTGACCTGGGTGCGCTTCTCCATCTGGCTGCTGA 3 199 350 NM_003585 DOC2B GGCCGAAAGTCTGCCAGAGTTCCCGGAGGCTCCTGATGATGGGTAAATTGGCACATGCTT 1 384 351 NM_006687 ACTL7A TGGGTCCACCGCTTTGAGTACGAGGAACACGGGCCTTTCTTCCTCTACAGAAGGTGCTTC 3 428 352 NM_001976 ENO3 CTCGGAGCGTCTGGCCAAATACAACCAACTCATGAGGATCGAGGAGGCTCTTGGGGACAA 3 386 353 NM_000212 ITGB3 TGGCCTGTTCTTCTATGGGTTGGACAACCTCATTTTAACTCAGTCTTTAATCTGAGAGGC 2 406 354 NM_016060 MED31 ATTCTAAGGCTAGCTGTTCCTGACATATAGTAGGGCAAGACCATCTCCTGGAACCTTACT 1 135 355 NM_004409 DMPK TTTTGGATGCACTGAGACCCCGACATTCCTCGGTATTTATTGTCTGTCCCCACCTAGGAC 4 146 356 NM_004707 ATG12 TGAAAACAAAGAAGTGGGCAGTAGAGCGAACACGAACCATCCAAGGACTCATTGACTTCA 3 383 357 NM_000069 CACNA1S TGGAGTCCTCCATGCCTGAGGACAGAAAGAGCTCCACACCAGGGTCTCTTCATGAGGAGA 1 41 358 NM_006442 DRAP1 AGAAGATTACGACTCCTAGCGCCTTCTGCCCCCCAGACCATAGCCCCTTTTAGTTGGTTT 5 78 359 NM_003984 SLC13A2 AGCACAGGCTGCTGGGCCCCATGACCTTTGCAGAAAAGGCCATCAGCATCCTATTCGTCA 3 236 360 NM_014404 CACNG5 CTTCCTCATCCCAGAATGTGTCACTGTCTTACCTTTCTGGGTCTCCTCCGGCCAGGATGT 2 1 361 NM_015910 LOC51057 CCTAGCTGTTGACGTTGGTGCTCGTGACCTCTTTATGGATATTCATTACCTTGCACTAGA 2 57 362 NM_003963 TM4SF5 CTCCTGCCTGGAGATAGTACTGTGTGGGATCCAGCTGGTGAACGCGACCATTGGTGTCTT 2 143 363 NM_000512 GALNS AACTGGGCGGTCATGAACTGGGCACCTCCGGGCTGTGAAAAGTTAGGGAAGTGTCTGACA 3 184 364 NM_000162 GCK CTCGGCGGTGGCCTGTAAGAAGGCCTGTATGCTGGGCCAGTGAGAGCAGTGGCCGCAAGC 1 318 365 NM_016539 SIRT6 TGTGGATTCTTTTTCTCTCGTGGTCTCACTTTGTTACTTGTTTCTGTCCCCGGGAGCCTC 3 8 366 NM_000749 CHRNB3 ACCGAATCTTCCTGTGGCTCTTTCTGATAGTGTCAGTAACAGGCTCGGTTCTGATTTTTA 3 382 367 NM_000116 TAZ TTCTGGATTCTTGGCCCGCACAGAGCTGGGGCTGAGGGATGGACTGATGCTTTTAGCTCA 2 204 368 NM_018606 AAAGACCTCAAGCTCATTCTGCCCAGGATTAAATCCAAGAGCCTTCTTAGCCCAGTTTCT 2 97 369 NM_018627 ATTAGTGTTGAAGCCGAATGTTATGGTTTTTATTGCGGAGCTTTTTTGGTGGTTCGAGAA 1 399 370 NM_002070 GNAI2 CTCCCTGTTTGAAGCCTGCCCTTGTCTGAGATGCTGGTAATGGCCATGGTACCCCCTTCT 5 107 371 NM_017438 SETD4 TTTTTCAATATTCAGTATAATGCAGTGTATTTCATCATATGCTGTATGGAGAGTGGGCAG 1 453 372 NM_017735 TTC27 AGCTGTACAAATGCTTTCTTCTGTTCGACTCAATTTACGGGGCTTGTTATCTAAAGCAAA 4 408 373 NM_003635 NDST2 GTATCCTTTTCCCACAGTTCTGGGACAAATAAAGGGGCTTCCTTTGGTACCCCACATAAT 3 207 374 NM_000461 THRB CGTGTGAAGGCTGCAAGGGTTTCTTTAGAAGAACCATTCAGAAAAATCTCCATCCATCCT 1 273 375 NM_002098 GUCA1B GAGCCTTCGACAAGAATGGGGACAACACCATCGACTTCCTGGAGTACGTGGCAGCTCTGA 1 233 376 NM_003718 CDC2L5 AGAGGCAGAGGCAGAGGGTTACCATACTGAGTATCTGTTTTTCCTCAGGCACATCATTTT 4 351 377 NM_015343 GABARAP CACTTGGAGTCTGGATGGACACATGGGCCAGGGGCTCTGAAGCAGCCTCACTCTTAACTT 4 161 378 NM_018484 SLC22A11 GGGATAAGCCTAACCTGCCTCACCATCTACAAGGCTGAACTCTTTCCAACGCCAGTGCGG 2 63 379 NM_018174 MAP1S CCCTGTCCAGAAAGTCCTCAACCCCCAAGACTGCCACTCGAGGCCCGTCGGGGTCAGCCA 4 129 380 NM_017637 BNC2 TCCCTTCACTTCAGTAGATTAGTCTCAGAATGGACACTACAAATGCCAGCTCTCACCAGA 3 436 381 NM_016172 UBADC1 TTTAGCATCTGACAGGTGTTTACAAAAAAGTGGTTGTCGCACTGGGAAGTGGAGTGATGG 4 195 382 NM_017854 TMEM160 AGCCTGCTCTGGGCGTGCGCCGTGGGCCTCTACATGGGGCAGCTGGAGCTGGACGTGGAG 4 354 383 NM_016320 NUP98 GGAGGGATTGATCTTCAGGGCTGTTTTTGTTCCTGCCTTTAGAGTTCCATGAACACCATA 3 261 384 NM_006028 HTR3B CTGAAGGAAGTCTGGTCGCAGCTTCAATCTATCAGCAACTACCTCCAAACTCAGGACCAG 1 421 385 NM_006161 NEUROG1 TGCCAGCCCGCCTTGAGACCTGCATCTCCGACCTCGACTGCGCCAGCAGCAGCGGCAGTG 5 308 386 NM_002134 HMOX2 CTAGCTGCTGGACTCTTGGCCTGGTACTACATGTGAAGCACCCATCATGCCACACCGGTA 5 113 387 NM_018068 PIWIL2 GTGGTAGATCATACAATAACAAGCTGTGAGTGGGTGGATTTCTATCTTCTTGCCCATCAT 3 274 388 NM_012340 NFATC2 ACAGACAGCTGCCTGGTCTATGGCGGCCAGCAAATGATCCTCACGGGGCAGAACTTTACA 1 231 389 NM_017532 GCACCAGGGGGAGGATTTTCATCAAGCACCCACACCTCTTTAAGTTTGCAGCAGATCCTC 4 295 390 NM_000691 ALDH3A1 CGTGGGGAACAGCGGCATGGGATCCTACCATGGCAAGAAGAGCTTCGAGACTTTCTCTCA 1 388 391 NM_002938 RNF4 AGCTCTCATCATTGTGATGTGTAGCATGTCTGCCCTCTGACTGGACATCATTGCCATTAA 4 86 392 NM_002442 MSI1 GAACCATCCCGTCCTGTATCATATGTAAATACTGTGAGGTGATGTGCCCACCCCTCTCTA 4 163 393 NM_018158 SLC4A1AP AGGCAAACTTCCACCAACACTTTCTTCCAAATATCCTGAAGATGACCCAGACTACTGTGT 4 393 394 NM_018463 ITFG2 TCCACCCCATCTTAAGCTCTGTCTTCCGTGGCACAATTCCAAGTTCTTGACGTTAGTAAT 3 156 395 NM_018143 KLHL11 AATGCTAGGTTCTCTCAAGCGTGCCGATTAAAACTGTTACACCCGTTTCGTGAAGCTGAA 1 227 396 NM_007160 OR2H2 CAACCTCTCCTTCTTGGACCTCTGTTTCACCACGAGTTGTGTTCCCCAAATGCTGGCCAA 4 26 397 NM_004623 TTC4 ACCCCTAAAAAGATTGCCAATTTTCTTCATCTTTGCCATATGGAGGACTGTGACAGACTT 4 276 398 NM_017649 CNNM2 CCTTCCCACTAGAACATACTTTAACAGAAAACGAGTCGGACCTTCTAGCTGCACTCTGTA 2 80 399 NM_006656 NEU3 TGGGAGACTTTGTAGATGTTGGGCTATATGTTGGGGTGATGGTAGCTCCTGATGTAATTT 2 177 400 NM_006604 RFPL3 GAGTCGTAAGTATTAATTATTGCCACCATCCAACTCATTGAGTCTTATGGTTCACATCTT 1 376 401 NM_003028 SHB ACGTTCTGGGTCAGAACAGCCCTCCGTTCGACAGTGTCCCGGAAGTCATCCACTACTACA 2 182 402 NM_014830 ZBTB39 TGATCTGTGAGTACCTGTTTGTCTCCAGGCCAAACCTTTGGGCTTAAATATCTTTTTCCT 3 91 403 NM_002075 GNB3 GACTTCAACTGCAATGTCTGGGACTCCATGAAGTCTGAGCGTGTGGGCATCCTCTCTGGC 2 133 404 NM_001528 HGFAC GTACACCCTGTACTCGGTGTTCAACCCCAGCGACCACGACCTCGTCCTGATCCGGCTGAA 2 294 405 NM_005332 HBZ AAGTTCCTATCGGTCGTATCCTCTGTCCTGACCGAGAAGTACCGCTGAGCGCCGCCTCCG 3 222 406 NM_002082 GRK6 AGCTACTCCGAGCGCCGTTTACAGTTTTGCACAGTGATCTTCCCCATTGTCCACTCAAGT 3 300 407 NM_017797 BTBD2 GACCTTGCGTTCCTTTTGTTCCTGTCCGTTTATCAGGACACGGGCCCCACCTGTCACGTG 3 95 408 NM_000787 DBH ATTCCTGAGTAAACAGATATTTTCGCCCACCTAAAGGGAAGCCCTGACAACAACTATCAC 1 168 409 NM_016605 FAM53C CACTTTAGCTGTTTTGACTATTTGAATTTTCACATATTGGGCTTACCCAGAGTGGAGCAC 3 235 410 NM_014071 NCOA6 TTTCATAAAGTGCAATGGGGAAAGCAGGACTGTTGAGCCCTTTTGGTGTTGCGAGTTGAA 4 319 411 NM_002453 MTIF2 GGGTGATATAAGTGCAAATGATGTTAACCTTGCTGAAACATTTGATGGTGTTATATATGG 3 452 412 NM_002215 ITIH1 ACTCATCGATGGTGCCTACACTGATTATATCGTCCCCGACATCTTCTGAGCCCTCTGGCC 1 53 413 NM_001273 CHD4 TGCTGAGTGACATGAAAGCTGATGTGACTCGACTCCCAGCTACCATTGCCCGAATTCCCC 4 292 414 NM_005155 PPT2 TTGGGGAATATCTGTGGCCTATGAGGCCCATCTCAGGTTTGGGGATCCCCCAGTCCCTAT 2 402 415 NM_013393 FTSJ2 CAGTGGGTCTGCTTTGGTTTTTGCTGGAAATTTATATCAGTGTCTGGGCTCCCAAGAACA 5 183 416 NM_018053 XKR8 TGCTCTCAAGGGGCTGCTTTTCAACCAAGAGCCTTGTGAGCCTGGTCTGAGCCTTGCACA 3 125 417 NM_006340 BAIAP2 GCCTCTTGAGGGTACACGCCTCTGGTCACATGGCCATGGAGCCTTGGGTACCCCTGAGTT 5 414 418 NM_004263 SEMA4F GGTGGTTCTGCTTATTCTTCAAGTTTATCTGAATCTGTGGGGAGTGCATGATCCCCATGT 2 152 419 NM_004756 NUMBL AGGATGGAATTCAGGGACGGACCCAGCCTGGCTAAGGGAACCATTTCACTGCCGGACTTA 1 196 420 NM_015985 ANGPT4 GTCTACTACCACGCTCCCGACAACAAGTACAAGATGGACGGCATCCGCTGGCACTACTTC 4 400 421 NM_005120 MED12 AGCAACAGACAGCAGCTTTGGTCCGGCAACTTCAACAACAGCTCTCTAATACCCAGCCAC 3 154 422 NM_016166 PIAS1 AAACAGGAGCAGCACGGACACGGCATCCATCTTTGGCATCATACCAGACATTATTTCATT 4 330 423 NM_006289 TLN1 AACTGCTGGACCATGTACTGCTGACCCTGCAGAAGCCAAGCCCAGAACTGAAGCAGCAGT 1 70 424 NM_016247 IMPG2 CGTGATCATAGGCATCACTATTGCCTCCGTGGTTGGACTTCTTGTCATCTTTTCTGCTAT 1 40 425 NM_018403 DCP1A CATTCTCAGTGATAATGGAGGTTTCACTGTGAAGCATCACCAGCAGATCCTTGTTTTGAC 5 379 426 NM_014206 C11orf10 CTTAGTGGCCTCACTCTTCATGGGCTTTGGAGTCCTCTTCCTGCTGCTCTGGGTTGGCAT 5 242 427 NM_016329 SFMBT1 TGCTGGAAAGCACCCTTTTGGTTGTTTTCATTCTGTTCCCTCTCATTGTAGATTGAACTT 3 132 428 NM_014293 NPTXR AAATTGCTGCTTCTCCAACTCTTGCTTGGGGCCAAGCCCTGCACCAGTTGCTTCCCAGCT 2 367 429 NM_001524 HCRT TCGTTCTTCGGGCCCTGTCCTGGCCCAGGCCTCTGCCCTCTGCCCACCCAGCGTCAGCCC 5 39 430 NM_017727 FLJ20254 AGTTCTTCCATCTTTGGTGGGGACAGGGCCCAGCAGCATCTCAGCCTCCTACCCACAATT 3 55 431 NM_014339 IL17RA GATTTTAATCCCAGGCATCCCTCCTAACTTTTCTTTGTGCAGCGGTCTGGTTATCGTCTA 4 123 432 NM_014625 NPHS2 TCCACCCTGAATTCCTCACACCTAACCCTGATAGTTACCTAAAGTGACACTTAAATGTTT 3 326 433 NM_019064 SDK2 CCCACAACTGACCCCTGCCTCCCTGTGCTGGAATTGACTTTCCTGAGCATGGACAAGGAA 5 116 434 NM_001057 TACR2 AAGGAAGATAAGCTCGAGCTGACTCCCACGACCTCCCTCTCCACGAGAGTCAACAGGTGT 4 305 435 NM_007126 VCP TGCGCCCACAGCCTGCTCCATTCTCCAGTCTGAACAGTTCAGCTACAGTCTGACTCTGGA 5 138 436 NM_016499 MGC13379 ACATGCTCCCTGTACGAGCTGTGCTATACCTGTCCCACATGAGCACGGAGAGCCTCATGT 4 303 437 NM_003593 FOXN1 ATCTTCATCCCAACAGCCCAGCAAGAAGGAGGAGACAGAGAGCTCCTCCCTGGGTTGTCT 2 62 438 NM_002712 PPP1R7 ATCTAACCGCATCCGGGCAATCGAAAATATCGACACCTTAACCAACCTGGAGAGTTTGTT 5 232 439 NM_015877 AAACCCTACATGTGTGAAAAGTGTAGGAAATGTTTTTCTTCCTTTACATCCCTGAAAAGA 3 212 440 NM_000595 LTA TCCCCACCAGTGGCATCTACTTCGTCTACTCCCAGGTGGTCTTCTCTGGGAAAGCCTACT 2 14 441 NM_003120 SPI1 AACGCCAAACGCACGAGTATTACCCCTATCTCAGCAGTGATGGGGAGAGCCATAGCGACC 1 378 442 NM_017659 QPCTL CATTCTCGCTGTGTTCCTGGCTGAATACCTGGGGCTCTAGCGTGCTTGGCCAATGACTGT 3 35 443 NM_007263 COPE AGGCCAAGGAGAACGACTTTGACAGGCTGGTGCTACAGTACGCTCCCAGCGCCTGAGGCT 5 331 444 NM_004890 SPAG7 CAAGAAAAAGTTTCAGCCAATGAACAAGATCGAGAGGAGCATACTACATGATGTGGTGGA 3 389 445 NM_001313 CRMP1 GTACTAGTGTGGTGTGTTTGCTTGGAAATTCCTTGCCCCACAGTTGTGTTCATGCTGAAT 2 284 446 NM_007110 TEP1 TCGGGAATAATGATACCCCTTGTGCTAGAGATGCAAAGCCTGAAGACACTGGTAGCTTTT 3 431 447 NM_000757 CSF1 TGCCCCGTTTTAACTCCGTTCCTTTGACTGACACAGGCCATGAGAGGCAGTCCGAGGGAT 2 285 448 NM_004738 VAPB ACAACTGTCATAGGCAGGGAAATTCTCAGTAGTGACAGTCAACTCTAGGTTACCTTTTTT 4 348 449 NM_003844 TNFRSF10A GATGGAAGAGAGACATGCAAAAGAGAAGATTCAGGACCTCTTGGTGGACTCTGGAAAGTT 3 430 450 NM_000294 PHKG2 AGCAGAACTCTCCAGAAGAAGGGTTTTGATCATTCCAGCTCCTCTGGGCTCTGGCCTCAG 4 189 451 NM_004213 SLC28A1 ACAGGAAGCAGTGGATCTCCGTCAGAGCTGAAGTCCTCACGACGTTTGCCCTCTGTGGAT 2 76 452 NM_019016 KRT24 AGTTGGTGGATGGCAAGGTTGTCTCGTCTCAAGTCAGCAGTATTTCTGAGGTGAAAGTTA 2 60 453 NM_015610 WIPI2 TTTTGTTTCTGATCTTGTTTTCCCTGTGGATATTGGAGGACAGCGAGGTTCTTTCTGATA 4 170 454 NM_014113 AGGAAAATCCCTGACCCCCTAAGAATGATCTCTCTCACTGTTCCAGACAGTCCATTTTAT 4 268 455 NM_000638 VTN TGACTACAGGATGGACTGGCTTGTGCCTGCCACCTGTGAACCCATCCAGAGTGTCTTCTT 3 380 456 NM_004062 CDH16 GGGAGTGCTCCAAATGTCAGGGTGTTTGCCCAATAATAAAGCCCCAGAGAACTGGGCTGG 1 335 457 NM_004921 CLCA3 AGCCCTAGGCCCGAAATGACTAGCAAATATCATTTTCTGTATGAATTGTGGAACATCACA 3 339 458 NM_006262 PRPH CCTGACACTTGATGTGACCTATGTGCTTCCCTTTTCATGTCCCGATAAGAAGCCAATGAT 3 259 459 NM_016566 CTGCTGGTGGCTATGCTCGTCACTTGAACAAGGAAGGAGACTACACTCTCTGCAGTCTTG 1 136 460 NM_001258 CDK3 CATGAGGTGGTGACACTGTGGTATCGCGCCCCCGAGATTCTCTTGGGCAGCAAGTTCTAT 3 229 461 NM_001940 ATN1 CTGCCCCGTTGGTGTGATTATTTCATCTGTTAGATGTGGCTGTTTTGCGTAGCATCGTGT 4 100 462 NM_004070 CLCNKA CTTCAGCGGCGTCCTGTTCAGCATCGAGGTCATGTCTTCCCACTTCTCTGTCCGGGATTA 4 131 463 NM_007188 KCNH2 TCATCAGCCAGGAGCCCGTCCTGTTTGGGACGACCATCATGGAAAACATCCGCTTTGGGA 1 220 464 NM_002723 PRB4 CCACCCAGACCTGCCCAGGGACAACAGCCTCCCCAGTAATCTAGGATTCAATGACAGGAA 5 32 465 NM_002002 FCER2 GAGCTGTCCTGGAACCTGAACGGGCTTCAAGCAGATCTGAGCAGCTTCAAGTCCCAGGAA 1 347 466 NM_004930 CAPZB GCTGAACGAGATCTACTTTGGAAAAACAAAGGATATCGTCAATGGGCTGAGGTCTGTGCA 4 ND 467 NM_017777 MKS1 TCAGATGGGCATCACAGCAAGGCAGGCTTTTTGATCTGAAGCTGTTTGGGGTGACCCCAT 2 ND 468 NM_014921 LPHN1 TCGGCTATCTGGGGAGCAGATTTTGGGTCTGGATCTCCCTGGGGAGTGGGTCCTGGGCTT 5 ND 469 NM_016131 RAB10 CGGCATTGTACATAGAAAGGATATGGCTACCTTTTGTTAAATCTGCACTTTCTAAATATC 5 ND 470 NM_000259 MYO5A TGCTGTGTTATCTTTATAGCAACACTCATCCTTAACCAACTAGGTACCGTGAGTTTACAT 2 ND 471 NM_017730 QRICH1 GAAAGGGCTTGGACTGTGAAAAGAAATGTGGCCCCTTTCCATCTTCAAGAGAGATGGAAT 4 ND 472 NM_014713 LAPTM4A TGCAGAGGCAAGAAAAATATTTGACATTGTGACTTGACTGTGGAAGATGATGGTTGCATG 5 ND 473 NM_016511 CLEC1A CATAGGAATTTCTCCCAGGAAAGAAATATATCCCCATCTCCGTTTCATATCAGAACTACC 4 ND 474 NM_020530 OSM TGGTGGTGGATCCTGGAATTTTCTCACGCAGGAGCCATTGCTCTCCTAGAGGGGGTCTCA 2 ND 475 NM_001736 C5AR1 TCTCAAAAGTTCTTTGGGACAAAACAGAAGTCCATGGAGTTATCTAAGCTCTTGTAAGTG 1 ND 476 NM_005242 F2RL1 ATGAGTTTTCTGCATCTGTCCTCACTGGAAAACTGACCACGGTCTTCCTTCCAATTGTCT 2 ND 477 NM_000130 F5 TCCGTGTCATTCCTAAAACATGGAATCAAAGTATTGCACTTCGCCTGGAACTCTTTGGCT 3 ND 478 NM_018939 PCDHB6 CTAAATCTTACTTATGTTTGGAGATCTCTTTTAACTTAAAGTTACATGGTCTGTTTCTTG 1 ND 479 NM_018195 C11orf57 AAATCTTTGTTGGAAGGAGCTTTGGCCATATATTTTTTAGCATGCATTGTTTCTGTGCCC 1 ND 480 NM_020682 AS3MT GGAAGGTGAAATTGTTGAAGTGGATGAAGAAACAGCAGCTATCTTGAAGAATTCAAGATT 3 ND 481 NM_000025 ADRB3 TGCAATCAGATAAATAAATATCACTGAATGCAGTTCATCCTCGGCCCACTTTCCCTCCGT 1 ND 482 NM_000434 NEU1 ATATTTGGTTTCAGAGTAAGGACTAGGTGCACCACCATGACTGACTATCAATCAAAATGT 5 ND 483 NM_000523 HOXD13 AAGGACAAGAAAATTGTCTCCAAGCTCAAAGATACTGTCTCCTGATGTGGTCCAGGTTGG 1 ND 484 NM_000986 RPL24 CTGCTAAGGCACCTACAAAGGCAGCACCTAAGCAAAAGATTGTGAAGCCTGTGAAAGTTT 5 ND 485 NM_005787 ALG3 CCTTACACCCAACCAGATCGTTTCTACCCTCTTCACCTCCAACTTCATTGGCATCTGCTT 4 ND 486 NM_001866 COX7B CAAATACGGTAATGCTGTATTAGCTAGTGGAGCCACTTTCTGTATTGTTACATGGACATA 5 ND 487 NM_014784 ARHGEF11 AGTGGAAGGCGGAACAAAGGCTACGGGGAACTGCTTTTATGTCAGCATGCCATCAGGACC 3 ND 488 NM_005383 NEU2 TCTGTACGAAGCCAATGATTACGAGGAGATTGTCTTTCTCATGTTCACCCTGAAGCAAGC 2 ND 489 NM_018651 ZNF167 CTGTATACTTTTATACCAACTTATTGTAGGCTCTTTGAGGTCAGGTATGTATTTCTTTCC 5 ND 490 NM_001040 SHBG TCCTTGCTCTTGGGACACCAGAGAACCCATCTTGGCTCAGTCTCCACCTCCAAGATCAAA 3 ND 491 NM_005750 C4orf6 TTGGGAAGGAAGGAACACGCAAAAATTTTTACCTTCTTCTTTCAATTGGACACTATGGAC 1 ND 492 NM_006434 SORBS1 TTGGTACTTCAAGAAGGACAAAGCAGTTTGGTACTTTTCCAGGCAACTATGTAAAACCTT 2 ND 493 NM_014423 AFF4 ATTCTCGTTGCCTCTGATTTTCTCCACAACACTGTGTCACATCACGAAGGAAAACTGCCA 2 ND 494 NM_003967 TAAR5 ACTTCCCTTTGTTCTTTGTCCCCTGCCTCATTATGATCAGCTTGTATGTGAAGATCTTTG 5 ND 495 NM_001833 CLTA CTGTGGAAACACTACATCTGCAATATCTTAATCCTACTCAGTGAAGCTCTTCACAGTCAT 5 ND 496 NM_021257 NGB CTCATTCAGCACTTCTGCTGGGAACTCCCTGACTATTCCGCTGCTGCAGGAACCCAGCTA 2 ND 497 NM_014473 HSA9761 CAAGTTCAGGAGCCGCAGAGACGCACAACTTTACACTTATCATTTCTAACAGTTTATTGT 4 ND 498 NM_020187 C3orf37 CAACGTCACCCAAAAAGGAAGACTCAAAAACACCTCAAAAGGAAGAGTCAGATGTTCCCC 4 ND 499 NM_000102 CYP17A1 CCTGGTGGACCTAGTCCCCTGGTTGAAGATTTTCCCCAACAAAACCCTGGAAAAATTAAA 1 ND 500 NM_003457 ZNF207 CTTGGTGAGGGCTGTAACTGTTTCCAAGTACTTGTACATTGGAAGTCTGAATGTGTAACA 5 ND 501 NM_012433 SF3B1 AATAACCTGTCTTTGTTTTTGATGTTAAACAGTAAATGCCAGTAGTGACCAAGAACACAG 5 ND 502 NM_004037 AMPD2 TATGTTGTGTTCTGGACTGAGGCCTTTGCTGTGAACTGCAGTGTTTCATACGAACCATCT 5 ND 503 NM_000739 CHRM2 TGTTGGCTTTCATCATCACTTGGGCCCCATACAATGTCATGGTGCTCATTAACACCTTTT 1 ND 504 NM_001087 AAMP GGACCTTGGCCATCTATGACCTGGCTACGCAGACTCTTAGGCATCAGTGTCAGCACCAGT 5 ND 505 NM_014891 PDAP1 GAAGAGATTGAGAAGCAGAAGGCAAAAGAGCGTTACATGAAAATGCACTTGGCCGGGAAG 4 ND 506 NM_006601 PTGES3 TTTTTTGATTCAGCTTATACCCGGGCTGAAAACCTCAATTTATGTTCATGACAGTGGGGA 5 ND 507 NM_007016 TTCAAGGCAGGAAAAAAGGGTATTTAATGCTCTGTCAAGCACATCAGCAATCATAGATTA 1 ND 508 NM_003145 SSR2 ATGAAAGCTATGGGACTCTTGGAGGATACCCAGTGTCTATTCTGGGTTAGAGAAGTGCTT 5 ND 509 NM_001104 ACTN3 CAGCTCAACGAGTTCCGAGCATCCTTCAACCACTTTGACAGGAAGCGGAATGGGATGATG 3 ND 510 NM_005284 GPR6 TTGTGTTCCAGTACTTGGTGCCCTCGGAGACTGTGAGTCTGCTCACGGTGGGCTTCCTCG 2 ND 511 NM_016335 PRODH CCCACCTCTGTGACCCCCATGTCCTTGGACCTAGAGGATTGTCCACCTTCTGCCAAGGCC 5 ND 512 NM_007167 ZMYM6 TGTGATGGTTGTAAACGACAGGGTAAACTAAGCGAGTCCATAAAGTGGCGAGGCAACATT 1 ND 513 NM_017752 TBC1D8B CTTGTATGTAATGATTGCCAAGGTAACAGAATTGCTGACATCTGTCTAAAAAGTTTTGAC 2 ND 514 NM_014582 OBP2A TTTAAGAAATTGGTGCAGCACAAGGGACTCTCGGAGGAGGACATTTTCATGCCCCTGCAG 1 ND 515 NM_018015 CXorf57 GTTGAGCAGCCTATGAACCTAAAGACATACTGCAGTTTGTTCATAAATGTATTCAGTCTT 1 ND 516 NM_001048 SST GGATGAAATGAGGCTTGAGCTGCAGAGATCTGCTAACTCAAACCCGGCTATGGCACCCCG 1 ND 517 NM_021131 PPP2R4 GAACTGTCCATTGCTTTTATAGGGTGAGGTAAGTGACAGCCTCCCAAGCCCAGGCTTTGG 4 ND 518 NM_003159 CDKL5 ACCATTCTGGACCCCAAGATAGACGCTTCATGTTAAGGACGACAGAACAACAAGGAGAAT 2 ND 519 NM_002833 PTPN9 TAGAGATGAACTCACTGAGCAGCCAGAGCCAAATGCAATCGGTACGAATCTTAGAAGGAA 3 ND 520 NM_004540 NCAM2 ATCCAACTGGTCTTTGACAGATTTGACTGTCCATATTTAGTTTATGTTTGTCTGATCATC 2 ND 521 NM_002114 HIVEP1 GACCAATAATTGTTGTTTTGTGTCAGCTCCAGCCATTTTTGTACATGTTGTATAGACAAT 3 ND 522 NM_017952 FLJ20758 AGTTTAGGCTGCACAACTGGTAAAATGACTGTAGATAAATGTTGTAATTAGTGTACACGT 4 ND 523 NM_001994 F13B GAATGCAATGTGACAGAGGGCAGTTAAAATATCCAAGATGTATTCCAAGACAAAGCACTC 1 ND 524 NM_003669 UBE1 GGCAGCATGACAAAACCCTGTCTCTACCAAAAATACAAAAATTAGCCACGCATGGTGGCA 5 ND 525 NM_001061 TBXAS1 CAACCCTGACTGCCAAGAGAAGCTTCTGAGAGAGGTAGACGTTTTTAAGGAGAAACACAT 2 ND 526 NM_005293 GPR20 GCCCGAAGCTCCCGCCGCCTGCCGCCAGCCTGCCTGTGCCAGGGCCGTGTGCGCCTTCGT 5 ND 527 NM_002071 GNAL TCATTTACGTCGCAGCCTGCAGTAGCTACAACATGGTGATTCGAGAAGATAACAACACCA 1 ND 528 NM_012326 MAPRE3 ACTTCTACTTCAGCAAACTTCGTGACATCGAGCTCATCTGCCAGGAGCATGAAAGTGAAA 1 ND 529 NM_001824 CKM TCCGCCGCTTCTGCGTAGGGCTGCAGAAGATTGAGGAGATCTTTAAGAAAGCTGGCCACC 1 ND 530 NM_000681 ADRA2A ATCATGTCATTGATGAACTGCCAAAGTCAGGGGAGGAGGGCAGAGACTTTGTGTTTACAT 5 ND 531 NM_005469 ACOT8 CTATATTGGCGAGGGCGACATGAAGATGCACTGCTGCGTGGCCGCCTATATCTCCGACTA 3 ND 532 NM_018486 HDAC8 GGGTCATCCTAGGGAAAACACTATCCTCTGAGATCCCAGATCATGAGTTTTTCACAGCAT 1 ND 533 NM_012236 SCMH1 CTGGCCTCTCACCAGGAGTTTAGGCTGAATGCCTTCCACGTGATGGAGGAAAAGGCCAAC 2 ND 534 NM_005768 MBOAT5 TTCCTGAGCCTACTATTCATATTGCCTTATATTCACAAAGCAATGGTGCCAAGGAAAGAG 2 ND 535 NM_004977 KCNC3 GGGGGTGCTGACCATCGCCATGCCTGTGCCCGTCATTGTCAACAACTTTGGCATGTACTA 4 ND 536 NM_001525 HCRTR1 TGAAAGGCTGTGGCTTCAGTCCTGGGTTTCTGCCTGTGTGACTCTGGATAAGTCACTTCC 5 ND 537 NM_005268 GJB5 GCTCTGGTGGACATATGTCTGCAGCCTAGTGTTCAAGGCGAGCGTGGACATCGCCTTTCT 1 ND 538 NM_003531 HIST1H3C TCTGTGCGCTATTCACGCTAAACGCGTCACCATCATGCCCAAAGATATCCAGCTGGCACG 5 ND 539 NM_017887 C1orf123 CAGCTACTCCCTCCACAAATAAGAATTCGTGCAGCAGCAGTTCACTCCTTAGGAAAATGA 4 ND 540 NM_003077 SMARCD2 TTTAGTTTTATAAATGTAGTGATAGGATTCCTTGTTGCTTGGTCCCCAAAGCCTTATACT 4 ND 541 NM_000475 NR0B1 TAAAGTCATGTGGGCCACACAAGTGCAGTAGTGCAGTTCACCATGAGGGAAGAATAAAGA 2 ND 542 NM_003310 TSSC1 GGGAGAGCCGCTGTTCCCTTCCTGTAGCAGCAGCATTTATGAATGGGGTGAATGGGGCTA 5 ND 543 NM_020999 NEUROG3 CATTCAAAGAATACTAGAATGGTAGCACTACCCGGCCGGAGCCGCCCACCGTCTTGGGTC 5 ND 544 NM_012454 TIAM2 GCTTCAGGGAATAACATTCTGAGCCCTCGATGGCAGTATTTCCTTCGGAACTGAAATACA 1 ND 545 NM_003049 SLC10A1 TGGATTCTGGTCCCAAAGCAATTCTGAAAGCCAGTGTGGTAAACTAGAGAGAGCAGCAAA 1 ND 546 NM_000112 SLC26A2 TCCTCCTTTGAAGCTAATGGCATTTGTATATACACACTGCAGCAGAGCTTGTAGCTGGAC 1 ND 547 NM_001499 GLE1L CAGAGTGGGGGACCTCATTCTTGCTCATCTACATAAGAAGTGTCCTTACTCTGTTCCTTT 1 ND 548 NM_018943 TUBA8 TATATACCTTCCCCTTGGCTGTGTCTCTTTATTTATGCTGTGCCATTCAAAGCACATGTT 4 ND 549 NM_014663 JMJD2A CTTCCCAAGAGAGTCAAATCTAGACTGTCAGTAGCCTCAGACATGCGCTTCAATGAGATT 3 ND 550 NM_004925 AQP3 AATTTGGGTCAATACATCCTTTTGTCTCCCAAGGGAAGAGAATGGGCAGCAGGTATGTGT 3 ND 551 NM_002139 RBMX ATAATGCTGGCCATTTTGCCTTTCTGACATTTCCTTGGGAATCTGCAAGAACCTCCCCTT 5 ND 552 NM_017943 FBXO34 TATAATGGTTGTGTTTTCATGGGGCTATGAAAGTGCACGTTAAACCTGAGCGCCTTTACC 3 ND 553 NM_003602 NCF1 AAACGTGTTTTCACAGGTGCTGTTTTCTGTTTTCCGTGTTCGTAACAGAAGGGAGGGGAA 2 ND 554 NM_005631 SMO GGTGGGTGAGGAGATTCCCACCTTCCATAGCCTCCAAACATGTTCCCAAGGCCCCACTTT 4 ND 555 NM_006067 COX4NB CTATAATCCTCCAAATCAAAGCTCTTTCTGCTTGTGCAAGATTGTTCCTATTAAACAGTT 5 ND 556 NM_006791 MORF4L1 AAAGAATTCTGCAACTTTGTTCAGTGCCAGCGATTATGAAGTGGCTCCTCCTGAGTACCA 5 ND 557 NM_005296 GPR23 GGTAAAATATGTTATGTGCATTTTGAAAACAGAAAACAAATTGCGTTGGCATGTACGTGG 1 ND 558 NM_014225 PPP2R1A CTCTGACTGTTCTGTCTCTCGCCTGATGCTGGAAGAGGAGCAAACACTGGCCTCTGGTGT 4 ND 559 NM_014433 RTDR1 CCATCAGTGTCATCGAGTTCAAACCCTGAGCCCTTCATTCACCTCTGTGAGTGAATAAAT 2 ND 560 NM_006640 Sep-09 AGGCTCTGTTCCTCAATGGCCTTTTGCTACGTGCCTCCCGAGAAATTTGTCTTTTTGTAT 5 ND 561 NM_003153 STAT6 CAAGGGCTGAGATTCTTCGTGTATAGCTGTGTGAACGTGTATGTACCTAGGATATGTTAA 5 ND 562 NM_014187 HSPC171 GCCAAAAGCAGTCTGAGGTATTGGGTATACTTATACTCTATAGGGTCGTTGAATAAATGG 5 ND 563 NM_003746 DYNLL1 AAATTTTCAGCCTTGCTAAGGGAACATCTCGATGTTTGAACCTTTGTTGTGTTTTGTACA 5 ND 564 NM_005283 XCR1 CTGTGTGGGTAGCCAGCATCCTGTCCTCCATCCTCGACACCATCTTCCACAAGGTGCTTT 5 ND 565 NM_007033 RER1 TTCTGGCCGATTCTGGTGATGTACTTCATCATGCTCTTCTGTATCACGATGAAGAGGCAA 5 ND 566 NM_015913 TXNDC12 CTACAAGTATTTTTATGTCAGTGCCGAGCAAGTTGTTCAGGGGATGAAGGAAGCTCAGGA 2 ND 567 NM_000333 ATXN7 TGGTGAACAGCAGTGATTCTACTCTTTCTCTTGGGCCATTCATTCACCAGTCCAATGAAC 3 ND 568 NM_018421 TBC1D2 CAAGCAAGAGCACTGCCTCTATAGGGTAACCTGGAACATTCTCTAGGTTATATCAATATA 4 ND 569 NM_015927 TGFB1I1 CCATCCTGGATAACTACATCTCGGCGCTCAGCGCGCTCTGGCACCCGGACTGTTTCGTCT 2 ND 570 NM_018562 TCTTCAAGCACATCAGAAGTTTCTCCCTAACTTAATTATGTTTGTTCTAGACCCTCTAGC 1 ND 571 NM_006874 ELF2 GAGGGGTTGGGATGGGTAATCTCATTGTTACATATAGCAATTTTTGATGCATTTTATATG 3 ND 572 NM_014280 DNAJC8 GTGATGGTTAGAAACTTCGTGGATAGTTTGTGGAAATCATCCAATTAAACATACTGCTTA 5 ND 573 NM_006501 TGGATCGGAAATACAGCATCTGTAAGAGCGGCTGCTTCTACCAGAAGAAAGAGGAGGACT 2 ND 574 NM_007123 USH2A AATATTATCAAAAGCTTAAATAAAGACAGATTGAACTCTGTACCAGCACAATCCTGCCTC 1 ND 575 NM_006594 AP4B1 TGCTGATTATTTTGAGAAAACTTGGCTTAGCCTTAAAGTTGCTCATCAGCAAGTGTTGCC 2 ND 576 NM_016226 VPS29 TTAGCCCTGTTGCAGAGGCAATTTGATGTGGACATTCTTATCTCGGGACACACACACAAA 5 ND 577 NM_007373 SHOC2 ATGGAAAAGAGGCACATTGCATAGAAGCCATTGGGGAGTTCAGTGGAAGTTCTGTAAGAT 4 ND 578 NM_001269 RCC1 GCCAGAGACTAGTCCTGAGATGGAAACAGCAACTTGTACAGTGGCTGAGAAAATAGGATA 4 ND 579 NM_005260 GDF9 CCCAAAATGAGTGTGAGCTCCATGACTTTAGACTTAGCTTTAGTCAGCTGAAGTGGGACA 1 ND 580 NM_006311 NCOR1 AAACAAACAAAAAACTGCCTTTGATACAGGCAATTCAGTGGACTATAATAATAGTGGAGG 3 ND 581 NM_020230 PPAN TGGAGGGCATGAAGAAGGCACGGGTCGGGGGTAGTGATGAAGAGGCCTCTGGGATCCCTT 4 ND 582 NM_007245 ATXN2L GTGACCCCGACTGTCTCCTGACTTAGCCGAGGTAAGGTCAGTGCAGCAGACAGGGCCAGA 1 ND 583 NM_006367 CAP1 TTTTTTAACAATGAGCATGAAGGTAGCAGAAGCTGGTGTGTTTCCAGATGGTTCTTCTAA 5 ND 584 NM_017567 NAGK CTGGGGCCATATGATGGGTGATGAGGGTTCAGCCTACTGGATCGCACACCAAGCAGTGAA 5 ND 585 NM_016611 AGACCCAAGCCTGACCCCATCCGAGTGGAATTTGAGTCCTAAAGAAATAAAAGAGTCGAT 4 ND 586 NM_014336 AIPL1 CAGTTTCTAGATTTTACCCCATGTCAATGACAAATGAGGATTTGATGCTCTGATCCTTTC 1 ND 587 NM_004510 SP110 AAGGAACGCAAAGAACTGGAAACGGAATATACGTTGTGAAGGAATGACCCTAGGAGAGCT 4 ND 588 NM_004592 SFRS8 TCTCTCAGGAAAAAGAAGCCCAGATCTCTTCAGCAATCGTTTCTTCCGTGCAGAGCAAAA 4 ND 589 NM_005364 MAGEA8 CTCAGTTCCTGTTCTATTGGGCGATTTGGAGGTTTATCTTTGTTTCCTTTTGGAATTGTT 2 ND 590 NM_000088 COL1A1 CCCTAGGGGTGGGAGGAAGCAAAAGACTCTGTACCTATTTTGTATGTGTATAATAATTTG 5 ND 591 NM_015478 L3MBTL CATTGCTTAACGATGGGGATACATTCTTAGAAATGTGTCACTAGGCAATTCTGTCATTGT 1 ND 592 NM_001841 CNR2 CATCACTGCCTGGCTCACTGGAAGAAGTGTGTGAGGGGCCTTGGGTCAGAGGCAAAAGAA 3 ND 593 NM_000460 THPO CCTGGCAGTTGAACAGAGGGAGAGACTAACCTTGAGTCAGAAAACAGAGAAAGGGTAATT 2 ND 594 NM_000455 STK11 CCGTGGCCTCGTGCTCCGCAGGGCGCCCAGCGCCGTCCGGCGGCCCCGCCGCAGACCAGC 5 ND 595 NM_003522 HIST1H2BG AAGCGCACCCGCAAGGAGAGTTACTCTGTGTACGTGTACAAGGTGCTGAAACAGGTCCAT 4 ND 596 NM_000616 CD4 TTCTCTCATTATTTCTCTCTGACCCTCTCCCCACTGCTCATTTGGATCCCAGGGGAGTGT 5 ND 597 NM_014359 OPTC GACTGCCTACCTGTATGCACGCTTCAACCGCATCAGCCGTATCAGGGCCGAAGACTTCAA 1 ND 598 NM_005014 OMD TTATGGTGAACAACGAAGCACTAATGGTCAAACAATACAACTAAAGACACAAGTTTTCAG 2 ND 599 NM_017503 SURF2 CCTTGGAAGCACGGAGGATGGGGATGGCACTGATGACTTTTTGACAGACAAAGAGGATGA 4 ND 600 NM_017451 BAIAP2 TTCCCGTAAGCACGTAATTCCTGCAGGTCCGGCAGCTACACCTGGAGTGTGGGGCCTGGT 1 ND 601 NM_018619 AGAGTTCAACACCAGCCTGGGCCATATTGTGAGAACACGTCTCTACAGACGATCAAAAAA 5 ND 602 NM_007265 ECD CACCGATCACAGACCAACAAGTAAGCCAACAAAAAATTAACCAGCACATTTAGCTTCTCT 4 ND 603 NM_003744 NUMB ATTGATGCCTACTGAAATAAAAAGAGGAAAGGCTGGAAGCTGCAGACAGGATCCCTAGCT 4 ND 604 NM_006550 AAATTTTGGATTGTATGTTCAGGAGAAGAGGGATGGATTGAAAAGAAGGCAGCAGCTAGA 3 ND 605 NM_012304 FBXL7 ACAAAGCTGACTGTTCACACTGATTGCCCAGCACATACCGTCTTGCCAGTTTCTTCTTTT 4 ND 606 NM_006914 RORB AGAAGCTGCAGGTATTTAAGCAATCTCATCCAGAGATAGTGAATACACTGTTTCCTCCGT 1 ND 607 NM_002087 GRN ATCCCCTCCCCGTTTCAGTGGACCCTGTGGCCAGGTGCTTTTCCCTATCCACAGGGGTGT 5 ND 608 NM_021062 HIST1H2BB GGCTAAGCATGCTGTGTCCGAGGGCACTAAGGCAGTTACCAAGTACACTAGCTCTAAATA 4 ND 609 NM_002582 PARN GAGTGTCGGCTGTGAAATCTGCAAAAAGAGCTGACATTCCAGCTGCTGTGATCATGAATT 3 ND 610 NM_014748 SNX17 CAGGCTATCATGATGAGCATCTGCTTGCAGTCCATGGTTGATGAACTGATGGTGAAGAAA 4 ND 611 NM_016488 PPHLN1 ACAGTTTGCATTGAGGCAGAATTTACATGAAATAGGTGAGCGGTGTGTTGAAGAACTCAA 5 ND 612 NM_017859 UCKL1 TGCTCATGGCAGAGATGGGCGTGCACTCAGTGGCCTATGCATTTCCGCGAGTGAGAATCA 4 ND 613 NM_018278 ACAGTAAGACATTGTTGGTGGAGATGAGAGTTTGAGAGTCAGGGTGACAATAAGTTATTT 2 ND 614 NM_000394 CRYAA CGGAGGACCTCACCGTGAAGGTGCAGGACGACTTTGTGGAGATCCACGGAAAGCACAACG 1 ND 615 NM_021019 MYL6 ATGACAGAGGAAGAAGTAGAGATGCTGGTGGCAGGGCATGAGGACAGCAATGGTTGTATC 5 ND 616 NM_004198 CHRNA6 AAATTTACAGACACCATATTTGTTCTGCATTCCCTGCCACAAGGAAAGGAAAGCAAAGGC 2 ND 617 NM_014907 FRMPD1 CTGAGGGCTTCATCCAACTCATGGAGAGCTTGCTGGAGCTACAAGACATTTTAGAAACTT 1 ND 618 NM_018207 TRIM62 AATCTGGGCCACCCCAGCAGTATTTTTATTTAAAATGTTGCCCATTTTATGAGTTATGAT 3 ND 619 NM_021023 CFHR1 TCAGGAAGTTACTGGGATTACATTCATTGCACACAAAATGGGTGGTCACCAGCAGTACCA 2 ND 620 NM_014898 ZFP30 TAAAATTTTCCATGATGTTCTTTTAAAGATCAAATTATCCATGAAATTATAGCCAGTTTA 1 ND 621 NM_014565 OR1A1 AACTTCTACTGTGACATTACCCCCTTGCTGAAGTTATCCTGTTCTGACATCCACTTTCAT 2 ND 622 NM_020389 TRPC7 CCAGAAAATCATGAAACGGCTCATAAAAAGATACGTCCTGAAAGCCCAGGTGGACAGAGA 2 ND 623 NM_017885 HCFC1R1 TTCCCTCAACAGAGGACACTGAGCCCAACGGAGTTCTGGGATGGGAGGGGTGGGAGCATG 5 ND 624 NM_000066 C8B TTGGGGGCATTTATGAATACACCCTCGTTATGAACAAAGAGGCCATGGAGAGAGGAGATT 2 ND 625 NM_003080 SMPD2 GGCAGGTGCATTCTACCTCTTCCACGTACAGGAGGTCAATGGCTTATATAGGGCCCAGGC 4 ND 626 NM_018945 PDE7B ATGAGCAAGCAGTGGAGTGAAAGGGTCTGTGAAGAATTCTACAGGCAAGGTGAACTTGAA 5 ND 627 NM_005334 HCFC1 TTTGTTTCTGAGGAGAGTACACCGTTCACTATTGTAGAGTAACCCCTGTGACTCAATATT 5 ND 628 NM_001719 BMP7 TGGTGTCTGTGCGAAAGGAAAATTGACCCGGAAGTTCCTGTAATAAATGTCACAATAAAA 5 ND 629 NM_003577 UTF1 CGCGACGCGGAACCCCACCTGGAGCTCCGCTTCAGCCCGTCCCCACCGAAGTCTGCGGAC 5 ND 630 NM_003320 TUB TTCAACTTCAGAAGGCCTCACTCAAGCCTGAGAGAAGTTGGGAGGGTGGTGGGGACAGGT 1 ND 631 NM_013374 PDCD6IP CATAAGACATGGTTGGGACATCAGATACTTACAAAGATGGTTTAAGTATGGATACTAGAG 5 ND 632 NM_004942 DEFB4 ACAAATTGGCACCTGTGGTCTCCCTGGAACAAAATGCTGCAAAAAGCCATGAGGAGGCCA 4 ND 633 NM_016518 PIPOX TGAATCCCCCATAAACACCAGATGATTGAGTCTACCTTCTTTCCTTGGCCCGCTCCCTTT 4 ND 634 NM_006220 TGATTGAACAAAATACCAAGTCTCCCCTCTTCATGGGAAAAGTGGTGAATCCCACCCAAA 5 ND 635 NM_006702 PNPLA6 ATTGAGCCCCCCACGAGCTATGTCTCTGATGGCTGTGCTGACGGAGAGGAGTCAGATTGT 5 ND 636 NM_018229 C14orf108 GTGTTGTTACAGAATACCAGAGACCATGTTAGAGACAACTACATCTCTTCAAAAAACAGC 3 ND 637 NM_003716 CADPS GGAGAATACATAGTCTAACCACTAGGCGTGTCCCTGTTATCAGCAAAGATCAATGATGCT 2 ND 638 NM_000079 CHRNA1 GGAGAAGATGACTCTGAGCATCTCTGTCTTACTGTCTTTGACTGTGTTCCTTCTGGTCAT 1 ND 639 NM_005884 PAK4 TGGAGAGAACACTAAGAGGTGAACATGTATGAGTGTGTGCACGCGTGTGAGTGTGCATGT 3 ND 640 NM_018117 BRWD2 GCATCTATGTTGAGAGTAAGTTTGTATCCTGCGTTGGTCTCAGAAAGAACGTGAATGCTT 2 ND 641 NM_014814 PSMD6 CACAGTCTTCCAGCAGTTCGGCAGTATCTGTTTTCACTCTATGAATGCCGTTACTCTGTT 5 ND 642 NM_018280 C22orf26 CCAGGTGTGACCTTGTAGATGGCCTCTATTCTGGATTCACAGCTGCTGAGGAGGAGGAAG 1 ND 643 NM_018312 SAPS3 TGATTATTCCTACAAGTGAAACACTAGACTATTTGGAGTGTATATGGCTTGTGTTTTGGG 2 ND 644 NM_004699 FAM50A GGTGGAGCAGCTCATGTACATCAAGGAGGACTTGATCATCCCTCACCATCACAGCTTCTA 5 ND 645 NM_005267 GJA8 CTTCTAGAAGAAGAGAAAATCGTTTCCCACTATTTCCCCTTGACCGAGGTTGGGATGGTG 1 ND 646 NM_001244 TNFSF8 TTCAGGAAGAAAGCGCCTCTCTACCATACAGTATTTCATCCCTCCAAACACTTGGGCAAA 3 ND 647 NM_004518 KCNQ2 ACATTTCATAATGCCTTCAGTACCGACGTACACTTCTGACCATTTTGTATGTGTCCTTGT 1 ND 648 NM_006222 TCGCAGACCCAGGGCAATGTGGTGGGAGGAGTGTTCCAAAGAGAAGATCTGGTCAGCAGA 4 ND 649 NM_004492 GTF2A2 AGAGGGTCAGGAACAGAGTCAATTTCAGGGGCTCTCTAAATACGTACAGATTCTGCGATA 5 ND 650 NM_005263 GFI1 CTGTGGACAAGATGTCATTCATTCACTCAGCAAATGTTCATGGATCACCGGCTACCAAGT 1 ND 651 NM_001277 CHKA AGCCTGTATGTGGTGTGGGGCGTGGATCGAGTGTAGCTGTGAAATCCATATATATGAAAT 4 ND 652 NM_020989 CRYGC CTAAGGCAGGCTCTTTGCGGAGAGTGGTGGATTTGTATTAAAATAGCTTAACACTACCAA 1 ND 653 NM_017676 FLJ20125 CTCTTGAAAAGCAGACTTTCAGTCTGTTGGACTCTTCAAACCAGGTTCTTGAATACTTAA 1 ND 654 NM_018664 SNFT ATACCTGGGAGGAAGGCTTTTCCTTCACAATTGTATACAGGGGGCACCTGTGGCCAGGCC 2 ND 655 NM_005294 RABGAP1 TTATTGTCTGCTTCACCTATTTCAACATCTTCCGCATCTGCCAACAGCACACAAAGGATA 1 ND 656 NM_007197 FZD10 CTTCACAGTGCCAGGAAAGAGTGGTTTCTGCGTGTGTATATTTGTAATATATGATATTTT 2 ND 657 NM_005865 PRSS16 CTGCTTAGGCTATGTTAGCTGTGACAGGAACCTGCCATAGATTTGCACTGTTCTTTCCTA 2 ND 658 NM_002236 KCNF1 AACTTTGTCAGGTACTACAACAAGCAGCGCGTCCTGGAGACCGCGGCCAAGCACGAGCTG 1 ND 659 NM_004679 VCY ATCTACTCCCCTATCTCCCTGAGCAGCAACTAAGTTTAGGCCCAGCTGCCAGACCTCAGA 4 ND 660 NM_018671 UNC45A TTGGCCAGCACTGCCTGCAGCCTCACTCAGAGGGGCCCTTTTTCTGTACTACTGTAGTCA 5 ND 661 NM_001163 APBA1 TGTCCACCTGCCAGAGCATTATTAAGGGCTTAAAGAATCAGTCCCGAGTCAAGCTGAATA 2 ND 662 NM_005998 CCT3 GTGAGACGGGTACTTTGGTGGACATGAAGGAACTGGGCATATGGGAGCCATTGGCTGTGA 5 ND 663 NM_003403 YY1 AGACAGGCCCTATGTGTGCCCCTTCGATGGTTGTAATAAGAAGTTTGCTCAGTCAACTAA 5 ND 664 NM_016025 METTL9 TGTCAAGCAGAAGTGATGGATGTTCAAGGAGGCAGGTTGCCCCAAAGTGTTTTCTAACTT 2 ND 665 NM_004262 TMPRSS11D CTCAAGAATATGCTGGCCACACAGTTCCAGAGCTAAGGCAAGGACAGGTCAGAATAATAA 1 ND 666 NM_005604 POU3F2 AGAGAGACAGAGAGATGGCAAGCACTGAGATAAATACCTGGCAAAACTAAATAAATTACC 4 ND 667 NM_014133 ACACACACAACTTCTCTGCTACGAAAAGTCTTGATTGATTCTGGCCTCAGGATGTGAACA 2 ND 668 NM_014744 TBC1D5 TTTTTTAAATTCTTCATAGTTGAGTATTATTTGCAATTTTATTAGTTACAGTGCTATTAA 1 ND 669 NM_016190 CRNN TTCTCAATGAGATAATTTCTGCAAGGAGCTTTCTATCCTGAACTCTTCTTTCTTACCTGC 1 ND 670 NM_007285 GABARAPL2 TGAGGTAGGTGCGGTATTAAAGTGAAAGGGAAGGTGATGCATTTATTCTGGGTTATGCTT 5 ND 671 NM_006257 PRKCQ ACTGATCAACAGCATGGACCAGAATATGTTCAGGAACTTTTCCTTCATGAACCCCGGGAT 1 ND 672 NM_000122 ERCC3 GACACACAGGAAATGGCTTACTCAACCAAGCGGCAGAGATTCTTGGTAGATCAAGGTTAT 4 ND 673 NM_000533 PLP1 TTCATGGGGTATTATCCATTCAGTCATCGTAGGTGATTTGAAGGTCTTGATTTGTTTTAG 1 ND 674 NM_012432 SETDB1 TCAAGTGGCAGTAAAATCAACCCGAGGCTTTGCTCTTAAATCAACCCATGGGATTGCAAT 2 ND 675 NM_018298 MCOLN3 GAGTGCCTTTTCTCTCTGATAAATGGAGATGATATGTTTGCCACGTTTGCAAAAATGCAG 3 ND 676 NM_000219 KCNE1 TATGTCGTTGAAAACCATCTGGCCATAGAACAACCCAACACACACCTTCCTGAGACGAAG 1 ND 677 NM_005107 ENDOGL1 CCCAGATAAGAAAGCCATCCTAGTTTTTATCTCAAGATGTGTCATACCGTCTGTAATGAA 1 ND 678 NM_004551 NDUFS3 TGTGGATCCTAGACAGCGCCTTATCTATGATTGAGTGTCCGTGTAAATAAATTCCTACTT 5 ND 679 NM_017895 DDX27 CATGTCTGTCAATCTCCCTTCTTGCTGATTAGCTTTCATATGACTATATTAAATGGAAGT 5 ND 680 NM_001242 TNFRSF7 AGCCACAACTGCAGTCCCATCCTCTTGTCAGGGCCCTTTCCTGTGTACACGTGACAGAGT 4 ND 681 NM_005066 SFPQ GTAGGGGGTGAAAGTGGGTTTGATTAAATGGATCTTTTATGGCCCTATGATCTATCCTTT 5 ND 682 NM_012390 SMR3A CACCCTATGGTCCAGGGAGAATTCAATCACACTCTCTTCCTCCTCCTTATGGCCCAGGTT 5 ND 683 NM_004437 EPB41 AGAGCAAGAGCAGTATGAAAGTACCATCGGATTCAAACTTCCCAGTTACCGAGCAGCTAA 2 ND 684 NM_007065 CDC37 AGGAACTCCAGAAGTGCTTCGATGTGAAGGACGTGCAGATGCTGCAGGACGCCATCAGCA 5 ND 685 NM_013318 CGTCGTCTGCCCTTTCAAATATGCTGGTCTACATGGAAAGACAAAGAGGAAAGGCCAAAA 5 ND 686 NM_007354 C3orf27 TGCCCGGCCTGATACCCTAGCAGGTTGGGTATTCAGAGGTGCCTGGGGAGCTTGTTAAAA 1 ND 687 NM_018332 DDX19A ATAGGTGCAAATGATGGGGGGCAATAGAAGAAAAAATTTGCATTTTGGAAAATTGGGTCC 2 ND 688 NM_003058 SLC22A2 CAGATCCTGCCAAATTCTTCCAGCTCACTTTATTCTCAGCATTCCTAGGACATTGGACAT 2 ND 689 NM_007080 LSM6 GTGAAATGTTCTTTCACTTGTAAGTTTCAGTCATTTTCTTTTACCTCGTTGTCAGTGTAC 4 ND 690 NM_021174 KIAA1967 AGAAAAAGGCTTTTCGAGTGTGGGACAAGGTCTGATGTCAGTGAACGGAATTGAAGAGCA 1 ND 691 NM_014901 RNF44 ACCTTGCTATAGATGCCATGTTACCAATGATTTCCTGTGGTGGGGGCTTGCCATTGTTTA 3 ND 692 NM_000098 CPT2 ATCCATCAAAAGTTAACTTCTGGGCAGATGAAAAGCTACCATCACTTCCTCATCATGAAA 4 ND 693 NM_018352 FLJ11184 ATGGACAGTAACCTGTTTCCTGAAAGATTCCTGTGGGTACTTTTTGAGCTGTGATAATAG 3 ND 694 NM_016156 MTMR2 TGTTCACCTGCTACAAGTAAGAGTTTGGTGCTGGTAGAAACATTTGACTCTGATGTCTAT 4 ND 695 NM_015530 GORASP2 ACTCACACGCAACATTTCTTGTACTTTGTAAGTCGTTTGCGAGAATGCAGACCACCTCAC 5 ND 696 NM_015369 CTTTCCTAAATTGCAATATGGCCTTGGTATGGTTTTATTTGTACTTTGGTGGGGGATTCG 1 ND 697 NM_006694 JTB AAGCAAATCGAGTCCATATAGCTACATTCCACCCTTGTATCCTGGGTCTTAGAGACCCTA 5 ND 698 NM_002653 PITX1 CTTCTTCAACTCCATGAGCCCGCTGTCGTCGCAGTCCATGTTCTCAGCACCCAGCTCCAT 4 ND 699 NM_014474 SMPDL3B AGGTGTCCCCATAAGCGCCATGTTCATCACACCTGGAGTCACCCCATGGAAAACCACATT 3 ND 700 NM_004941 DHX8 GTTGGGAGCTCATATCTAACACAGAGACACATTGCATCAACTTCAAGAAAGGGACAATTT 3 ND 701 NM_007204 DDX20 GATACCTTTGGATATCCATCCTCCTCGACTTATAGTACAGTGGTGTATAGTGGCATTTCT 2 ND 702 NM_000620 NOS1 CTCCCCAATTCCCCAGGGAAGGAAACTGTTGTGTGCAATCCCCATTAAAGACAAATTGAT 1 ND 703 NM_001281 CKAP1 TGGTGGGCAGCCCTGCTTCCTGCATGGAACTGGAGCTGTATGGAGTTGACGACAAGTTCT 4 ND 704 NM_006590 USP39 CTGGGAGTAGTTGAAGAACAGATAATTCCTTCCAAACATCAAGCCTTGGGATTCTTGGAG 5 ND 705 NM_006249 PRB3 CAAGGTCCCCCACCTCGTCCAGGAAAGCCAGAAGGATCACCTTCACAAGGAGGCAACAAA 5 ND 706 NM_002218 ITIH4 GCCGCTTCTGGGGCCTGGACCACCATGGGGAGGAAGAGTCCCACTCATTACAAATAAAGA 3 ND 707 NM_005969 NAP1L4 GCAGCACAATCCCGTGGACAGAGCTTACTCCATCTAACTCGTTTTCAAGTGCATGATTTT 4 ND 708 NM_018317 TBC1D19 TTGCTTTTATGGGATAGAATCCTAGGATACAACTCTCTGGAAATTCTTGCTGTGCTGGCA 1 ND 709 NM_006938 SNRPD1 GCAGAGGAAGAGGGGGTCCTAGGCGATAATGTCTCTCAAGATTTCAAAGTCATATGAGAT 5 ND 710 NM_001375 DNASE2 CCACTGAAGCCAGAGGATCGATTGAACCAGGGAGATCATGGTCACAGTGAACTATGATTA 5 ND 711 NM_012434 SLC17A5 TCAAACTTTCCCTTCCCAGCACAGAGGAATATTGGCTGGCATGCAACCTGCAAAAGAAAA 4 ND 712 NM_018610 ATTTTGAGAACTGCAGCACTCAGTGAAGCTTTGTTAAAGGGAATGAGGAGTTTAGGCCCC 1 ND 713 NM_002807 PSMD1 GATTAAGGGCCAGAGGATCTCACTTGCTTATCTGAAGAAGATTGTCCAGGCTGATATTGG 5 ND 714 NM_014275 MGAT4B CGTTTTAGAAGAGCTTTTACTTGGGCGCCCGCCGTCTCTGGCGCGAACACTGGAATGCAT 5 ND 715 NM_016305 SS18L2 AACCTGAAGAGGAAACTCAGTAGGTGTTGGGCAGGAATTGGTGAGATTCCTGACTTGATA 5 ND 716 NM_005381 NCL CCTTGGAAATCCGTCTAGTTAACATTTCAAGGGCAATACCGTGTTGGTTTTGACTGGATA 5 ND 717 NM_018067 RPRC1 TGGAAGTGGCCTGGGCCCCTGGGGGTGGGTCCTCTCTGTTGTTTTTAATCTGCACCTTAT 5 ND 718 NM_014498 GOLPH4 CCAGCAGATGACCCTAATAATCAAGGTGAGGATGAATTTGAAGAAGCCGAGCAAGTGAGA 3 ND 719 NM_014044 UNC50 GTGTCCACTATAGGATTTGGCTTTGTGCTGGACATGGGATTCTTTGAGACAATAAAGCTT 4 ND 720 NM_006362 STX5 TAAACTACCCGAAGGACTTAGGTGCTTTGTGTACTTAACCCCAGGACCTCCTTACTTTTT 5 ND 721 NM_019071 ING3 TCAACAGGTATATTCTGCTGCATGTACTGTACTCCAGAGCTGTTATGTAACACTGTATAT 3 ND 722 NM_013444 UBQLN2 TACAGTGTAACATTGTGTCAACATTTGCAGATTGACTGTATATGACCTTAATCTTTGTGC 4 ND 723 NM_015669 PCDHB5 GATCTAGAATTCGAGAGTGTCATGGACAAAAATTTCACCTTGAGATTGAGCTTTTATTTC 1 ND 724 NM_001883 CRHR2 TATTTCAACTCCTTCCTGCAGTCGTTCCAGGGTTTCTTCGTGTCTGTCTTCTACTGCTTC 3 ND 725 NM_015322 FEM1B CCCAGAACTCTTGAAGAGTTTGTTGGATTTCATTAAGTGACTGGATATGTAAAGTCGTTT 2 ND 726 NM_003317 TITF1 CTGCTCCACGCGCTTCGACTTTTCTTAACAACCTGGCCGCGTTTAGACCAAGGAACAAAA 2 ND 727 NM_016157 TRO CCCCATGTTTACAGATACCGCTAATAAATTGCAGTAGTCCTTCCCATGGAGCCAAAGTAC 3 ND 728 NM_006570 RRAGA GGTTCGTGTGTGTTCTCATTACCTGGTTATGATAGATATGCACATCAAAGCCTTTACCAG 5 ND 729 NM_005023 PGGT1B TGAATGTAAGCACACGGACTTCTGAACGCCTTCTAGATCTCCATCAAAGCTGGAAAACCA 2 ND 730 NM_020482 FHL5 AATCACAAAGACAACTCTCCTTGCAAAATACTGCACTCTGCTGTTAGAAGCAGAGGAAAA 1 ND 731 NM_000889 ITGB7 CACCCTACTTCATTTTCAGAGTGACACCCAAGAGGGCTGCTTCCCATGCCTGCAACCTTG 5 ND 732 NM_013292 MYLPF TGAGGATGTGATCACCGGAGCCTTCAAGGTCTTGGACCCTGAGGGAAAGGGCACCATCAA 1 ND 733 NM_012460 TIMM9 TTGAGGCCTTATGATTCAGCAGCTTGGTCACTTGATTAGAAAAATAAACCATTGTTTCTT 5 ND 734 NM_005481 THRAP5 CATGCTCAAGTCGCCCAACAGAACCACGGCGGTGAAGCAGTGGGAGCAGCGCTGGATCAA 3 ND 735 NM_007374 SIX6 CTGCCCAGATTCTCCCATGGGTATTTCACGTCGAAAGGACGCTGTTACATATGTATAACT 1 ND 736 NM_018273 TMEM143 AGACAGAGAAAGCTGTAGTCCTAAAAAGAGGCTGGGTTCATGGTCGGTGAAACAAAGACA 2 ND 737 NM_006869 CENTA1 TTCCAGGATGCTTCTCTGGAACCTCAAGGCAGGCAGCCCAGGCCCTGGGCCTGATCTCTA 4 ND 738 NM_000857 GUCY1B3 AAAGTTTGGCTTTTGATGTGGATGATGTGAGCTTCATGTGTCTTAAAATCTACTACAAGC 1 ND 739 NM_013449 BAZ2A GCAATTTTCCCTTGGTATAAGATGTGCTAGATTAATTTCATTGTGAGGTGGATGGGGGAG 2 ND 740 NM_006992 LRRC23 TGCAGATTGCTAGTTTTGCTTATAACCAGATTACTGACACTGAAGGCATCTCTCATCCTC 2 ND 741 NM_005188 CBL TCCATGAGTATGAATAGCAGCCCATTAGTAGGTCCAGAGTGTGACCACCCCAAAATCAAA 3 ND 742 NM_005452 WDR46 GCCATCTGCCCTGGACAGATTTGTGCGCTGAGCCAGACTCCAGGGTTGCCTGGGAACAGT 5 ND 743 NM_020689 SLC24A3 TTGATTCTGTTGCACATTTTGCACTGGTTTATGGCGATTGTTTTCTTGGACGGATAGTGT 4 ND 744 NM_004810 GRAP2 CTTTCTGTGGACTGAGAAGTTTCCATCCCTAAATAAGCTGGTAGACTACTACAGGACAAA 1 ND 745 NM_007223 GPR176 TTTGGCTTTGGGCCTTTTGAGTTGCCTCCTCAGTGGCTCTCAGAGACCCGAAACAGCAAG 2 ND 746 NM_000032 ALAS2 CAGGCCTACTCCTGTCTTCTGCTTTGTTGTGTGCCTCTAGCTGAATTGAGCCTAAAAATA 4 ND 747 NM_003976 ARTN AGCCTAAAAGACACCAGAGACCTCAGCTATGGAGCCCTTCGGACCCACTTCTCACAGACT 4 ND 748 NM_003446 ZNF157 GTTGTACAATGAAGAAAGCCTCTCACTGAAGACTTCCCTCACCATTGGATCAAGCTCCTT 3 ND 749 NM_004238 TRIP12 TTTGCTGTGTGAAATTTAAAAAAGGGATGTTTTTCCAGGCTGGAACAATAAATGTGGCTG 5 ND 750 NM_004706 ARHGEF1 CAGGAAGGCCTTTTGCAAGAAGGAGAGGAATGGGGGAGAGGACGTGAGGGACCACCCCCA 1 ND 751 NM_005286 NPBWR2 CCTCCCCACGATGGGTGCCAACGTCTCTCAGGACAATGGCACTGGCCACAATGCCACCTT 4 ND 752 NM_020249 TTAATCATAAAGCTATACTAGCTCACATCTGAAGTCAACATGAAGTTTCCTACTTCCTTG 1 ND 753 NM_004429 EFNB1 GAGAGGGAGCAGAACAGCCAGCCCCTTCCAGGTGGCAGTCGGAAGGGTTTTTGTTTTTGT 4 ND 754 NM_018011 FLJ10154 GCCAAAACTGTCCTTCTCATTAAAAACCCAGGATTAAATTGCAAACTCTGAACTTTTTAC 3 ND 755 NM_001454 FOXJ1 TTCGGTGGAGCAGGCTGCCGACAGCCTGGACTTCGATGAGACCTTCCTGGCCACATCCTT 2 ND 756 NM_006660 CLPX GGACGGTTGCCTGTGGTGGTTCCATTGCATAGCCTAGATGAGAAAACACTTGTACAAATA 4 ND 757 NM_007037 ADAMTS8 CACCAATTATGGCTACAATGACATTGTCACCATCCCAGCTGGTGCCACTAATATTGACGT 1 ND 758 NM_012409 PRND CTGCATCAATGCCACCCAGGCGGCGAACCAGGGGGAGTTCCAGAAGCCAGACAACAAGCT 1 ND 759 NM_014424 HSPB7 TATATAGATGGGGTTTTTCCAATACAGCTGGTTCGTGATAAACTGCATGAAACTCCTGCC 1 ND 760 NM_021018 HIST1H3F AAGCCCCACCGCTACAGGCCTGGTACTGTCGCCCTCCGTGAAATCCGCCGCTATCAGAAA 5 ND 761 NM_000542 SFTPB GGCTCCTGGCTGGACAGGGAAAAGTGCAAGCAATTTGTGGAGCAGCACACGCCCCAGCTG 1 ND 762 NM_003048 SLC9A2 TGTGTTTCCTCGGAAAAAATTGTTTATTACGGCTGCCATTGTTGTCATATTCTTTACTGT 1 ND 763 NM_001234 CAV3 GGAATGCTGCATTTTGTTCGTGCCTGTAAGATTGGTTTGTGTCCTGACCAGCTCCAAAAA 1 ND 764 NM_018029 PPP4R2 ATCTTGAGGGGGGAGTGTTGGGTGGAATCATAGATCCATGCACTCCTAACATGAACTAAT 3 ND 765 NM_003562 SLC25A11 TCCATGCCTGTGGACATTGCCAAGACCCGAATCCAGAACATGCGGATGATTGATGGGAAG 3 ND 766 NM_014466 TEKT2 CTTCACACGTACCACAAATAGCACCCTGAGTCCACTCAAAAGCTGCCAGCTGGAGCTGGC 2 ND 767 NM_000823 GHRHR ACAGTGAAGATTATCTACACCGTGGGCCATAGCATCTCTATTGTAGCCCTCTTCGTGGCC 1 ND 768 NM_017590 ZC3H7B AATTTAATGGTCCTTTAAAATGTCTGTGTATTAAAAATTTAAGAATACCACACTTTAATA 4 ND 769 NM_001805 CEBPE GCAAGAGCCGAGACAAGGCCAAGAGGCGCATTCTGGAGACGCAGCAGAAGGTGCTGGAGT 4 ND 770 NM_003016 SFRS2 TATTTTTGTGCACTAGGCGCAGTTGTGTAGCAGTTGAGTAATGCTGGTTAGCTGTTAAGG 5 ND 771 NM_018572 GGTGTATGTGTCCAGGAATTTATCCATTTCTTTTGGATTTTATAGTTCCTGTCGCTTGCC 4 ND 772 NM_002032 FTH1 TGCATGCATGTTGGGGTTTCCTTTACCTTTTCTATAAGTTGTACCAAAACATCCACTTAA 5 ND 773 NM_006678 CD300C ACCAAAGGGTCAGCAGGGAAAAGGAATGGCCGAGTGTCCATCAGGGACAGTCCTGCAAAC 2 ND 774 NM_018023 YEATS2 AGCAGTCTCCACGTGTGTTAATGTTTCAAACGTGTATCATAATGTGTATAATTGTGTAAC 4 ND 775 NM_000174 GP9 GTGGCCGCGCTGGGCCTGGCTCTTCTGGCTGGCCTGCTGTGTGCCACCACAGAGGCCCTG 5 ND 776 NM_001292 CLK3 GGGATGAGAACAGCTCTGACGGCCGGTATGTGAAGGAGAACTGCAAACCTCTGAAGAGTT 3 ND 777 NM_002429 MMP19 ACCAGTACTGCAGGATTGTTGCACTAAATGAAATACTGTATGTGAAGTGCCTGGCACAGT 2 ND 778 NM_018038 CTAGTCTTGATAGATGTATAATTATTACATATCCACCATCACTTCATTTAGCTGGGCAAC 1 ND 779 NM_000015 NAT2 AGACGTCTCCAACATCTTCATTTATAACCACATCATTTTGTTCCTTGCAGACCCCAGAAG 2 ND 780 NM_005850 SF3B4 CTTGGACCAATCAGAGATGCTGTAGCTCCTTGGGGCAAAGGTACTAATCCCTTTCAGCAC 3 ND 781 NM_004656 BAP1 CATGTTGACATAAGTTCCTACCTGACTATGCTTTCTCTCCTAGGAGCTGTCCTGGTGGGC 3 ND 782 NM_012244 SLC7A8 GGATGGAGTTAGAACCTTAATGATAATTTCTTTCGTTTGGTGTAGGTTTTAGAGATTTGT 5 ND 783 NM_002140 HNRPK TGGGGAGCAGTACTACAAGTTGAGTAATGGTATGAGTATATACCAGAATTCTGATTGGCA 5 ND 784 NM_000452 SLC10A2 GGTACAGACTTCCTTCTTAGAGAGTGTCAGAGAATATGCTCCCAATGGTGGAAAGGAAGA 1 ND 785 NM_021098 CACNA1H GCGGCCCAATGTCACCTTCACTCACAGTCTGAGTTCTTGTCCGCCTGTCACGCCCTCACC 5 ND 786 NM_006559 KHDRBS1 ATTTGAGATTCTGCACTCCATGAAAAGTTCACTTGGACGCTGGGGCCAAAAGCTGTTGAT 5 ND 787 NM_014761 KIAA0174 CACCTCAGCATCTGAAGACATTGACTTTGATGATCTTTCCCGGAGGTTTGAAGAGCTGAA 2 ND 788 NM_020905 RDH14 CAATGTTTGGTGTTTGTGTGGAAATTATCTGCCTGGTGTGTGCACACAAGTCTTACTTGG 5 ND 789 NM_001817 CEACAM4 TGTTCCAAAACATCACCCTGGAGGACGCAGGATCCTACACCCTACGAACCATAAATGCCA 1 ND 790 NM_017803 DUS2L CCAGGGGTGGATCCTGGCCCCTTTGGTGGATCTGAGTGACAGGGTCAAGTTCTCTTTGAA 4 ND 791 NM_014046 HLA-E GGGCTGGGCTAAACATTGTTGCCGTTTCATACTTCTACCAACTCAGCTTTTACACAATAA 5 ND 792 NM_017907 C11orf59 CAGCCTCACTGCGGCTTATACAGTACCCTAACCTGCTACTAATCACAGAGAAAAATGTGA 4 ND 793 NM_014952 BAHD1 AGGAGGTAGGGTCTTGGCTGCCCCGAACTTAAATGCTTTTGAAATCTCTTAGATGTGGAA 5 ND 794 NM_007169 PEMT CTGGGGTTCGCTGGAACTTTCCTAGGTGATTACTTCGGGATCCTCAAGGAGGCGAGAGTG 3 ND 795 NM_020393 PGLYRP4 GAGTTTCTCCAGGGGAGGAACTGTGTTTTATTCATCTCTATGTCCTCTGTTTCTCAGCAG 1 ND 796 NM_002042 GABRR1 CCATGTTTTCACTATCCCTTCTGCAGCTTTCCAAAGCTACATTGACGAGACACTTACTGG 1 ND 797 NM_001065 TNFRSF1A AGGGGCGAGCACGGAACAATGGGGCCTTCAGCTGGAGCTGTGGACTTTTGTACATACACT 5 ND 798 NM_018026 PACS1 TTCCTCATCATCCCCCTCGGTTCTCACCCTGTGGCCAAATACTTGGGGTCAGTCGACAGT 5 ND 799 NM_001507 MLNR AACTTTTCTATCTGAGCGCATCTATCAACCCAATCCTCTACAACCTCATTTCAAAGAAGT 1 ND 800 NM_001862 COX5B CATCTGTGAAGAGGACAATACCAGCGTCGTCTGGTTTTGGCTGCACAAAGGCGAGGCCCA 5 ND 801 NM_016037 UTP11L GAGTCGTCGAAAACGTTGACGTGTTATAGATAAGCCTTGTCATTCTGTATCAAAAATCTG 4 ND 802 NM_005801 EIF1 CCTCACAGCTTGTATAATGTAACCATTTGGGGTCCGCTTTTAACTTGGACTAGTGTAACT 5 ND 803 NM_014080 DUOX2 GTCCTACTAAATATACTCTTTTGAGACTGGCCTCTTTTACTCACCATAATGCCTTTGTAA 2 ND 804 NM_012368 OR2C1 CTCAGCCAGCTATGGGTATCTGCTTCCGGCCAAGAACAGCAAACAGGACCAGGGCAAGTT 1 ND 805 NM_005119 THRAP3 TTCATTTCATTTGGAGCTAAGATGACTAATTTGATGATTTTCGATCTCTTTTCCCCTGTC 2 ND 806 NM_000486 AQP2 GTGTTCATCCCCAAGTTCTCTTTTGTCCTCACATGCAGAGTTGTGCATGCCCCTGAGTGT 3 ND 807 NM_021080 DAB1 CTCCCTCACCTGTACCTCAGAGGCCTTCTCCAGTTACTTCAACAAAGTCGGGGTGGCACA 4 ND 808 NM_021114 SPINK2 TTTACATGAGATTTGTTAACACACATTTTCTGAGAGCAGGTATGGAAGACAGCCATGTGT 1 ND 809 NM_006600 NUDC ATGGGGCTGCCAACTTCAGACGAACAGAAGAAACAGGAGATTCTGAAGAAGTTCATGGAT 5 ND 810 NM_007363 NONO TGGGGAAACCATGGCAAAGTGGATCCAGTTAGAGCCCATTAATCTTGATCATTCCGGTTT 3 ND 811 NM_006183 NTS AAATGTTTGCAGTCTTGTAAATAATTTGAACAGCCCAGCTGAGGAAACAGGAGAAGTTCA 2 ND 812 NM_017660 GATAD2A AAAGGATCAGGTCTGCTTTTAGTTTCATTTTTGTTTCTTTCCCGTCCCACTCTTTAAAAA 4 ND 813 NM_003922 HERC1 TTTGGTCACTTTTGATAAGTTTGCATGAAACCATTTTGGTGCATTTTTAGTTGGGAATGG 3 ND 814 NM_002872 RAC2 CACTTACCTGTGAGAGTCTTCAAACTTTTAAACCTTGCCAGTCAGGACTTTTGCTATTGC 5 ND 815 NM_006833 COPS6 TACCTCGGCACCATCACCAAAACGTGCAACACCATGAACCAGTTTGTGAACAAGTTCAAT 5 ND 816 NM_014052 TATTCTGCCTAACGTTTGCTTCTGTGATGGTTATATTGCCTAGCAAGCACACCCGTGGTT 5 ND 817 NM_012191 HYAL1 CATCCAGGGCAAGGAACTGTCTTTCTGGTTCAATAGACTGCCCCGACAGTCTACAAGCCT 1 ND 818 NM_001997 FAU CCCGTGCTGGAAAAGTGAGAGGTCAGACTCCTAAGGTGGCCAAACAGGAGAAGAAGAAGA 5 ND 819 NM_002169 IFNA5 ACTTTCAAAGAATCACCCTCTATCTGACAGAGAAGAAATACAGCCCTTGTGCATGGGAGG 1 ND 820 NM_014021 SSX2IP CAGATGATTGTTTGCTAGATTTTGTTTTCTACAATCAAAATGTTGACCTGCAAAGCAGTG 1 ND 821 NM_005030 PLK1 CGGCAGCGTGCAGATCAACTTCTTCCAGGATCACACCAAGCTCATCTTGTGCCCACTGAT 1 ND 822 NM_001414 EIF2B1 ACATTCCTCAGCAGGATCAAGCCAAACAGTAAAAACTACCAAGAGAACACGAGGAAGGCA 4 ND 823 NM_018428 UTP6 AAGTGGTGGCTACAAAAAGGCCAGAGCTGTGTTTAAAAGTTTACAGGAGAGCCGACCATT 4 ND 824 NM_000588 IL3 AATGAATTCCGGAGGAAACTGACGTTCTATCTGAAAACCCTTGAGAATGCGCAGGCTCAA 1 ND 825 NM_005430 WNT1 GGCACAGCAGGCACGGCAGGGCGCGCCTGTAACAGCTCGTCGCCCGCGCTGGACGGCTGC 1 ND 826 NM_016340 RAPGEF6 CTTTTCCAGCCTCATGGGTATGGCACTCTTAATTAAAATTTCAGTGACTGTTTACTGGAT 4 ND 827 NM_002517 NPAS1 GGGCCCGCGGGCACCAGGCTGCCGCGGAAGGGGGACTGAGGACTGGCAGAGCTGCCGGCG 4 ND 828 NM_004590 CCL16 AGTGATGACCAGGCTTTAGTGGAAGCCCTTGTTTACAGAAGAGAGGGGTAAACCTATGAA 1 ND 829 NM_016014 C9orf77 AGGTTGAAACAGTTTGTGTCACAGGAACTGGTGCAGAAACATAAAGAAGGGAAGTGATTT 1 ND 830 NM_002695 POLR2E AGGAGGAGGTGACAGAGCTGCTGGCCCGATATAAGCTCCGAGAGAACCAGCTGCCCAGGA 5 ND 831 NM_016093 RPL26L1 TACAAAGGTCAGCAAATTGGCAAAGTAGTCCAGGTTTACAGGAAGAAATATGTTATCTAC 5 ND 832 NM_017506 OR7A5 TCCTCCTGATAATGTAGACCTGAACATACTTGTGTATTTTGCAGCTGGTCATGAGATTGT 1 ND 833 NM_014231 VAMP1 CAGGAGCATCACAATTTGAGAGCAGTGCTGCCAAGCTAAAGAGGAAGTATTGGTGGAAAA 1 ND 834 NM_000481 AMT GGAATGATTGCTGACTCACAGTAGGGCTGCTATGCCTGTGTGTAAACTTGGGGATGGCTG 2 ND 835 NM_005182 CA7 TAGCCGGCCACTAGGGCACCATCTTCTCAAGGGCTTCCATGTCAGCAGACACCAAACCAT 1 ND 836 NM_004501 HNRPU GAACCTCAGCATTGTGCACGATAAGAGAATGTGTCAGTATTTCAGGGTTCTACATTTTAT 5 ND 837 NM_000942 PPIB CAAAAACAGCAAATTCCATCGTGTAATCAAGGACTTCATGATCCAGGGCGGAGACTTCAC 5 ND 838 NM_013399 C16orf5 CATGGCCTCCTGTCACTGTGAATCGTGGCCCAGTCTCAGTTTGTAGTTTCTCATTAAATT 4 ND 839 NM_013391 DMGDH TGGTATTGACCGAACCAACCAGAAACCGGCTTCAGAAAAAAGGTGGAAAGGACAAAACTT 2 ND 840 NM_002981 CCL1 GAGAGGCAAAGAGGCCTGCGCCTTGGACACAGTTGGATGGGTTCAGAGGCACAGAAAAAT 1 ND 841 NM_001384 DPH2 TAATTAAGATTAAAAGCTCAGTTTCTCAGTCACATTAGTCATTCAAGTGTTCAGACAGCC 4 ND 842 NM_004389 CTNNA2 GTGAAAAATCTGGAAGTGTAATGGTAGAACATAAAACTTGTATTGCTTCTGTTTCAGTGC 1 ND 843 NM_016552 ANKMY1 CAGGCTGTCTTTGCCAAGGAGAGCCAGTGGGACCCCACGTGGCTGTACCTGTGCAAGAGA 1 ND 844 NM_006188 OCM CAGAGGAATTCCAGGAAATGGTGCATTCTTAAAAGCCCCAGTCTCTGGAGAAAAGAGAGA 1 ND 845 NM_003085 SNCB AATCACGAGATCTTCCTTCCGCTCTGAGGCAACCCCCTCGGAGCCTGTGTTAGTGTCTGT 4 ND 846 NM_002733 PRKAG1 ACTAAAGCCTTGCAACATCGATCACATTACTTTGAGGGTGTTCTCAAGTGCTACCTGCAT 2 ND 847 NM_005830 MRPS31 ATATATTTCTGGAGAAACACCTGGAGAGCTTTCCAAAACAAGGACCAATTCGCCACTTCA 4 ND 848 NM_002713 PPP1R8 CAAGCTTTGTACAGAGATTTGTACATTTGTGTAATAGGCCTTTTCATGCTTTATGTGTAG 4 ND 849 NM_006285 TESK1 TGGGGATCACTGAACCAGACACAGCATTGCTGACACATGAGACTAACACGTGCAATTATT 5 ND 850 NM_004875 POLR1C ATGCTGCTAAAGATTCCTCTGACCCCAACGAACTGTACGTGAACCACAAAGTGTATACCA 3 ND 851 NM_016333 SRRM2 TCCTCTTCATCATCGTCGTCGTCGTCCTCCTCCTCCTCTGGCTCCAGTTCTAGTGACTCA 5 ND 852 NM_017409 HOXC10 GCACTCACACACAGCATTCTGTTCTCCATGCAAAGTTAAGATCGAATCCATCCGCTTGTA 4 ND 853 NM_006402 HBXIP AGTGCACAAAATGGCCTCTTGATGCTCATATCTGTTCTTCAGCAGCCTGTCATAGGAACT 5 ND 854 NM_014892 RBM16 ATAGATATATTTCAGAATAGCAAGTGGTGGTATATCTTATCCATATCTTTAGGCTGCTGC 4 ND 855 NM_020904 PLEKHA4 AAGGAACACCACCCCTTACTTGCCGACTTCCGAAGGTCACCGGGAGCGGGTTCTCAGCCT 5 ND 856 NM_006777 ZBTB33 TCAACTATCAGTTTATGTCTTCACATATAAAGTCAGTTCATAGTCAAGATCCTTCTGGGG 1 ND 857 NM_004565 PEX14 GTTCATTTGTGTGATCATGTATAGACCTCAGAACGGAAGATAGGACTGTATATAATTGTA 5 ND 858 NM_003656 CAMK1 TGAACAGATTTTGAAGGCCGAGTACGAGTTTGACTCTCCTTACTGGGACGACATCTCTGA 2 ND 859 NM_013400 KCNH2 ATAATGAATGAATTCTGCTTTCCTATAATTTCTACCTATTGGGCCTTGTTCTGTTCTCTG 5 ND 860 NM_006058 TNIP1 ACACCCCTACCCCTCTGTGAGGAGCTGTGGGAAGTGTGGGTTTGTCTCCAGAACAGAAGA 5 ND 861 NM_020344 SLC24A2 AAACCTTCATCGAGGAAGTTTTTTCCCATCACGTTCTTTGGCTCCATTACCTGGATTGCA 5 ND 862 NM_012198 GCA TGGTGGTGTTTGAGGGTTGGCTAGAAATGAAAGCCTGGATTTTGTGCCATGTTTGTAATA 4 ND 863 NM_018527 NARG1L TGCTCTTGCTATTGTTTTTTAACCATCCCCTGCCAGAAACATATACACAGATACACAACC 2 ND 864 NM_012088 PGLS AGCACGAACTGTCATCTTTGTGGCAACTGGAGAAGGCAAGGCAGCTGTTCTGAAGCGCAT 5 ND 865 NM_006561 CUGBP2 TTTTTCTGATTCTTCTGTCCTCATTGTGAACATAACCGTGTAGTTGAAACAGTCAAACTT 3 ND 866 NM_016481 C9orf156 CCGAGATGGACCTTGGGCAGCTCAGTTCACAAGATGTTGATCAGGCGTCATTTAAATATT 2 ND 867 NM_006937 SUMO2 AGACGGGAGGTGTCTACTGAAAAGGGAACCTGCTTCTTTACTCCAGAACTCTGTTCTTTA 5 ND 868 NM_005826 HNRPR ATCGCTCAGCAGCCGCTTCAGCAAGGTGGTGACTATTCTGGTAACTATGGTTACAATAAT 5 ND 869 NM_000322 RDS GTTGGTCCCAAGTTTAATTAGATTTCTGAATCTCGTTGAGGCCAAGGAATGATCCATACT 1 ND 870 NM_005500 SAE1 TCAAGTCACTCAGAGGCTGTTGCATTTCAGGGCTATGTTGGTCCTTTGTTTACCTCCTAA 5 ND 871 NM_002768 PCOLN3 GGCTCACTGCATTTGGTTTTCTTTTCAGAACTTGGGAGCCCCCAGGGAGGGGCTAGTGTT 5 ND 872 NM_015884 MBTPS2 ACTCTGGATGGTTACAGCACGGTAATGTTTGCACTCATCTGACAGAATCCCTGAGTTACA 1 ND 873 NM_006092 CARD4 TGGCAAAGATAGAGAATGCCCTCAGCTCTTAGCTGGTCTAAGAATGACGATGCCTTCAAA 2 ND 874 NM_003103 GGCATTGAGTTGTGATATAGTTTTACTTTGATGTGCATTTTGAATTTCAGCTACACCTAG 5 ND 875 NM_001425 EMP3 TGTTCATGTTCCAGCTCTACACCATGCGACGAGGAGGTCTCTTCTATGCCACCGGCCTCT 4 ND 876 NM_005549 KCNA10 GACTTCTTCAGGAACATCATGAACATCATTGACATCATCTCCATTATCCCCTACTTTGCA 1 ND 877 NM_006917 RXRG GGTTCTTCAAGAGGACGATAAGGAAGGACCTCATCTACACGTGTCGGGATAATAAAGACT 1 ND 878 NM_006272 S100B ATGGTTACTACTGCCTGCCACGAGTTCTTTGAACATGAGTGAGATTAGAAAGCAGCCAAA 3 ND 879 NM_004083 DDIT3 GGAAGTGTATCTTCATACATCACCACACCTGAAAGCAGATGTGCTTTTCCAGACTGATCC 1 ND 880 NM_016039 C14orf166 TCACATTCTCGGGGGAGGAAGCCCAGAAAATTGGGTATGTTCTAGAGATTTACCACCATT 5 ND 881 NM_004212 SLC28A2 TCTACAACAATACCGTCTGTGCCTAAGGCTGCTTGATCTATTTCTATAACAGTTTTGATC 1 ND 882 NM_017435 SLCO1C1 ACAATTAACTCATACCTTGGGTTCCTTCAAGTATTACTCCTATAGTATTTTCTCCCATAG 1 ND 883 NM_003355 UCP2 GGTTCCTGGAACGTGGTGATGTTCGTCACCTATGAGCAGCTGAAACGAGCCCTCATGGCT 3 ND 884 NM_015711 GLTSCR1 TCCAGCCGCCCGCGCCAGATTTTGAAATCTCGGAGACAAAACTAGTACTGTAAGATAAAT 5 ND 885 NM_006253 PRKAB1 TGAGGTTTTACAATTGTTTCTTACAGTCATGTGCACTAAGTACTCTTTTTGTAAGCAGAG 2 ND 886 NM_003408 ZFP37 ATGTCACACCTTGTTGTACATGAGAAACTTTGAAAATGGATCTTCATATAGAATCAGTGG 1 ND 887 NM_014223 NFYC ACTTGCCACCAATGCTCAACAGATTACACAGACAGAGGTCCAGCAAGGACAGCAGCAGTT 2 ND 888 NM_019062 RNF186 TTGGGATAGCATAGCTAAAACTGTTGGTGGCTAGGGGAGCAGACACAAACTACTTGAACA 1 ND 889 NM_000671 ADH5 GCCAAATTGCTCTTCAAAGTAAATGTGAGTTTTTGTGAATTACATGAGTATGGAATGGTG 3 ND 890 NM_006011 ST8SIA2 ATCAAAAGACCCACCACCGGCCTCTTGATGTATACCCTGGCCACACGTTTCTGCAAACAA 5 ND 891 NM_004040 RHOB GCGCTGCAGAAGCGCTACGGCTCCCAGAACGGCTGCATCAACTGCTGCAAGGTGCTATGA 2 ND 892 NM_006773 DDX18 TTGTAGACTTTAGAATTTGGACTTACCTAACAAGAGTATAAATTGACTTGGGTTGCAAGC 3 ND 893 NM_000605 IFNA2 AGCCTAAGGTTTAGGCTCACCCATTTCAACCAGTCTAGCAGCATCTGCAACATCTACAAT 1 ND 894 NM_000203 IDUA ACATACGAGATCCAGTTCTCTCAGGACGGTAAGGCGTACACCCCGGTCAGCAGGAAGCCA 2 ND 895 NM_003492 CXorf12 AACTTACTTTCAAAGACATAAAGCACAGATCTCCGCACAGGGGATGTGTGTGTTCCTGAT 4 ND 896 NM_004805 POLR2D CAGCCCATTTGCTGTATGAACTGTGGTTGTTGTGTGCCCAATGACAAGGCTACTAAGAAA 3 ND 897 NM_003948 CDKL2 GATGGATTTGCTGAGAGGTTTTCCCAAGAACTACAGTTAAAAGTACAGAAAGATGCCAGA 1 ND 898 NM_000777 CYP3A5 AGGATTTCTACTTTGGTCTTCAAGAAAGCTGTGCCCCAGAACACCAGAGATTTCAACTTA 1 ND 899 NM_002167 ID3 AGCCAGGTGGAAATCCTACAGCGCGTCATCGACTACATTCTCGACCTGCAGGTAGTCCTG 4 ND 900 NM_004413 CDK10 GGCAGGATGCCTGGGGACAGTTCAGGACACACACACAGTAGGCCCGCAATAAAAGCAACA 2 ND 901 NM_016041 DERL2 GAAGGACTCGGTGATACCCACTGGGATCTTTTATCCTTTGTTGCAAAAGTGTGGACACTT 4 ND 902 NM_015962 C14orf111 GGATCCAAGATTTGAACGATTACCATGTACACACAAAGGAACCTATGCAGATGACTGCTT 1 ND 903 NM_006934 SLC6A9 GCCATCATGTACATCTACGGGCACCGGAACTACTTCCAGGACATCCAGATGATGCTGGGA 1 ND 904 NM_000559 HBG1 ACTGAGCTCACTGCCCATGATGCAGAGCTTTCAAGGATAGGCTTTATTCTGCAAGCAATA 1 ND 905 NM_001305 NCF1 GGAAGTCCTGGGGTTTTTCCTCTTCCTTCTTTGTGGTTTCTGTTTTGTAATTTAAGAAGA 5 ND 906 NM_007039 PTPN21 AGAGGGGTTTCTAACCTGGGAAAGGTGCTCAAGGAGGACTTGGTTTCAAGGGCCTTGCCC 2 ND 907 NM_005423 TFF2 TCCAACTTCATCTTTGAAGTGCCCTGGTGCTTCTTCCCGAAGTCTGTGGAAGACTGCCAT 3 ND 908 NM_021221 LY6G5B TCAAGGTTCGCTTCATCGTTCGAGGCTGTGGACAGTACATTTCCTACCGCTGCCAAGAAA 1 ND 909 NM_016063 HDDC2 CAGACTGCTTCAGACTTCTAATCATAGGCTTGTAAACCTACTAATAGGCTCTGCCCCTCT 1 ND 910 NM_020406 CTTGGACACCAGATTCTTTCCCATTCTGTCCATGAATCATCTTCCCCACACACAATCATT 2 ND 911 NM_003089 SNRP70 GAATACACATGGTCTACAGTAAGCGGTCAGGAAAGCCCCGTGGCTATGCCTTCATCGAGT 3 ND 912 NM_003470 USP7 GACCACTTCAACAAAGCCCCAAAGAGGAGTCGCTACACTTACCTTGAAAAGGCCATTAAA 4 ND 913 NM_001685 ATP5J TACAAATCTAAGCGACAGACATCTGGAGGACCTGTTGATGCTAGTTCAGAGTATCAGCAA 5 ND 914 NM_003411 ZFY GCTTCCGAAGACCTTCAGAAAAGAACCAGCACATAATGAGACACCATAAAGAAGTTGGTC 1 ND 915 NM_000118 ENG GACTGTCTTCATGCGCTTGAACATCATCAGCCCTGACCTGTCTGGTTGCACAAGCAAAGG 3 ND

TABLE 2 GenBankAccession# Symbol Description 1 AL080059 TSPYL5 TSPY-like 5 2 AW014921 CDNA FLJ41489 fis, clone BRTHA2004582 3 AI813331 DIAPH3 Diaphanous homolog 3 (Drosophila) 4 NM_016359 NUSAP1 Nucleolar and spindle associated protein 1 5 AA555029 LOC286052 Hypothetical protein LOC286052 6 NM_003748 ALDH4A1 Aldehyde dehydrogenase 4 family, member A1 7 AI554061 QSCN6L1 Quiescin Q6-like 1 8 NM_003862 FGF18 Fibroblast growth factor 18 9 AA992378 DIAPH3 Diaphanous homolog 3 (Drosophila) 10 AA404325 PQLC2 PQ loop repeat containing 2 11 U82987 BBC3 BCL2 binding component 3 12 AL137718 DIAPH3 Diaphanous homolog 3 (Drosophila) 13 AB037863 RP5-860F19.3 KIAA1442 protein 14 NM_020188 C16orf61 Chromosome 16 open reading frame 61 15 NM_020974 SCUBE2 Signal peptide, CUB domain, EGF-like 2 16 NM_000127 EXT1 Exostoses (multiple) 1 17 NM_002019 FLT1 Fms-related tyrosine kinase 1 (vascular endothelial growth factor/vascular permeability factor receptor) 18 NM_002073 GNAZ Guanine nucleotide binding protein (G protein), alpha z polypeptide 19 NM_000436 OXCT1 3-oxoacid CoA transferase 1 20 NM_004994 MMP9 Matrix metallopeptidase 9 (gelatinase B, 92 kDa gelatinase, 92 kDa type IV collagenase) 21 AI918032 RUNDC1 RUN domain containing 1 22 AI283268 CDNA: FLJ22719 fis, clone HSI14307 23 AI738508 ECT2 Epithelial cell transforming sequence 2 oncogene 24 NM_003875 GMPS Guanine monphosphate synthetase 25 NM_006101 KNTC2 Kinetochore associated 2 26 NM_003882 WISP1 WNT1 inducible signaling pathway protein 1 27 NM_003607 CDC42BPA CDC42 binding protein kinase alpha (DMPK-like) 28 AF073519 DKFZP686P18101 Similar to TFIIH basal transcription factor complex p44 subunit (Basic transcription factor 2 44 kDa subunit) (BTF2-p44) (General transcription factor IIH polypeptide 2) 29 AF052162 AYTL2 Acyltransferase like 2 30 NM_000849 GSTM3 Glutathione S-transferase M3 (brain) 31 AI377418 GPR180 G protein-coupled receptor 180 32 NM_016577 RAB6A RAB6A, member RAS oncogene family 33 AI694320 ZNF533 Zinc finger protein 533 34 AA528243 RTN4RL1 Reticulon 4 receptor-like 1 35 NM_015984 UCHL5 Ubiquitin carboxyl-terminal hydrolase L5 36 NM_006117 PECI Peroxisomal D3,D2-enoyl-CoA isomerase 37 AK000745 MTDH Metadherin 38 AI224578 Full-length cDNA clone CS0DI029YM01 of Placenta Cot 25-normalized of Homo sapiens (human) 39 NM_003239 TGFB3 Transforming growth factor, beta 3 40 NM_014791 MELK Maternal embryonic leucine zipper kinase 41 X05610 COL4A2 Collagen, type IV, alpha 2 42 NM_016448 DTL Denticleless homolog (Drosophila) 43 NM_018401 STK32B Serine/threonine kinase 32B 44 NM_000788 DCK Deoxycytidine kinase 45 AI817737 FBXO31 F-box protein 31 46 AL080079 GPR126 G protein-coupled receptor 126 47 NM_006931 SLC2A14 Solute carrier family 2 (facilitated glucose transporter), member 14 48 AF257175 PECI Peroxisomal D3,D2-enoyl-CoA isomerase 49 NM_014321 ORC6L Origin recognition complex, subunit 6 like (yeast) 50 NM_002916 RFC4 Replication factor C (activator 1) 4, 37 kDa 51 AI992158 CDCA7 Cell division cycle associated 7 52 AW024884 LOC643008 PP12104 53 AF201951 MS4A7 Membrane-spanning 4-domains, subfamily A, member 7 54 NM_005915 MCM6 MCM6 minichromosome maintenance deficient 6 (MIS5 homolog, S. pombe) (S. cerevisiae) 55 NM_001282 AP2B1 Adaptor-related protein complex 2, beta 1 subunit 56 AI741117 C9orf30 Chromosome 9 open reading frame 30 57 NM_000599 IGFBP5 Insulin-like growth factor binding protein 5 58 NM_020386 HRASLS HRAS-like suppressor 59 NM_014889 PITRM1 Pitrilysin metallopeptidase 1 60 AF055033 IGFBP5 Insulin-like growth factor binding protein 5 61 NM_006681 NMU Neuromedin U 62 NM_007203 PALM2-AKAP2 PALM2-AKAP2 protein 63 AI583960 LGP2 Likely ortholog of mouse D11lgp2 64 NM_003981 PRC1 Protein regulator of cytokinesis 1 65 AA834945 LOC441921 Transcribed locus 66 NM_001809 CENPA Centromere protein A 67 W90004 EGLN1 Egl nine homolog 1 (C. elegans) 68 NM_004702 Data not found 69 NM_007036 ESM1 Endothelial cell-specific molecule 1 70 NM_018354 C20orf46 Chromosome 20 open reading frame 46 71 NM_000286 PEX12 Peroxisomal biogenesis factor 12 72 NM_014968 Data not found 73 NM_001216 CA9 Carbonic anhydrase IX 74 NM_001673 ASNS Asparagine synthetase 75 NM_000096 CP Ceruloplasmin (ferroxidase) 76 NM_000291 PGK1 Phosphoglycerate kinase 1 77 NM_006265 RAD21 RAD21 homolog (S. pombe) 78 NM_003600 AURKA Aurora kinase A 79 N38891 HIPK2 Homeodomain interacting protein kinase 2 80 NM_000320 QDPR Quinoid dihydropteridine reductase 81 AB033007 ERGIC1 Endoplasmic reticulum-golgi intermediate compartment (ERGIC) 1 82 AA748494 ASPM Asp (abnormal spindle)-like, microcephaly associated (Drosophila) 83 NM_004336 BUB1 BUB1 budding uninhibited by benzimidazoles 1 homolog (yeast) 84 AL355708 NEO1 Neogenin homolog 1 (chicken) 85 NM_000017 ACADS Acyl-Coenzyme A dehydrogenase, C-2 to C-3 short chain 86 N69403 Transcribed locus 87 NM_006281 STK3 Serine/threonine kinase 3 (STE20 homolog, yeast) 88 NM_004701 CCNB2 Cyclin B2 89 NM_006763 BTG2 BTG family, member 2 90 AF148505 ALDH6A1 Aldehyde dehydrogenase 6 family, member A1 91 AF155117 KIF21A Kinesin family member 21A 92 NM_018265 C1orf106 Chromosome 1 open reading frame 106 93 H15286 LYPD6 Hypothetical protein MGC52057 94 NM_017779 DEPDC1 DEP domain containing 1 95 NM_020166 MCCC1 Methylcrotonoyl-Coenzyme A carboxylase 1 (alpha) 96 NM_001280 CIRBP Cold inducible RNA binding protein 97 AF161553 IVNS1ABP Influenza virus NS1A binding protein 98 NM_018098 ECT2 Epithelial cell transforming sequence 2 oncogene 99 NM_003376 VEGF Vascular endothelial growth factor 100 NM_001168 BIRC5 Baculoviral IAP repeat-containing 5 (survivin) 101 AJ224741 MATN3 Matrilin 3 102 NM_014875 KIF14 Kinesin family member 14 103 M21551 NMB Neuromedin B 104 U45975 PIB5PA Phosphatidylinositol (4,5) bisphosphate 5-phosphatase, A 105 AI300570 CDNA: FLJ23228 fis, clone CAE06654 106 AI248998 CACNA1D Calcium channel, voltage- dependent, L type, alpha 1D subunit 107 NM_004504 HRB HIV-1 Rev binding protein 108 AI917602 Transcribed locus, strongly similar to NP_061886.1 hypothetical protein FLJ10156 [Homo sapiens] 109 AI924323 NDUFA4L2 NADH dehydrogenase (ubiquinone) 1 alpha subcomplex, 4-like 2 110 NM_002808 PSMD2 Proteasome (prosome, macropain) 26S subunit, non- ATPase, 2 111 AI741818 SDSL Serine dehydratase-like 112 AI125487 Transcribed locus 113 NM_014109 ATAD2 ATPase family, AAA domain containing 2 114 AI743843 C1orf96 Chromosome 1 open reading frame 96 115 NM_005196 Data not found 116 AI741080 B3GALNT2 Beta-1,3-N- acetylgalactosaminyltransferase 2 117 NM_014750 DLG7 Discs, large homolog 7 (Drosophila) 118 AI912791 ZNF395 Zinc finger protein 395 119 NM_003158 Data not found 120 NM_004456 EZH2 Enhancer of zeste homolog 2 (Drosophila) 121 NM_003258 TK1 Thymidine kinase 1, soluble 122 AI694966 RAI2 Retinoic acid induced 2 123 AI247495 MYO10 Myosin X 124 AL137514 IHPK2 Inositol hexaphosphate kinase 2 125 NM_018455 CENPN Centromere protein N 126 NM_004911 PDIA4 Protein disulfide isomerase family A, member 4 127 NM_005563 STMN1 Stathmin 1/oncoprotein 18 128 U96131 TRIP13 Thyroid hormone receptor interactor 13 129 NM_003878 GGH Gamma-glutamyl hydrolase (conjugase, folylpolygammaglutamyl hydrolase) 130 NM_000224 KRT18 Keratin 18 131 AI374873 CDNA FLJ32438 fis, clone SKMUS2001402 132 AW276078 LOC387763 Hypothetical LOC387763 133 NM_004052 BNIP3 BCL2/adenovirus E1B 19 kDa interacting protein 3 134 AI149869 QSER1 Glutamine and serine rich 1 135 NM_018410 DKFZp762E1312 Hypothetical protein DKFZp762E1312 136 NM_000158 GBE1 Glucan (1,4-alpha-), branching enzyme 1 (glycogen branching enzyme, Andersen disease, glycogen storage disease type IV) 137 NM_013262 MYLIP Myosin regulatory light chain interacting protein 138 AI076929 LOC124220 Similar to common salivary protein 1 139 NM_004163 RAB27B RAB27B, member RAS oncogene family 140 AB020689 TBC1D9 TBC1 domain family, member 9 141 NM_018136 ASPM Asp (abnormal spindle)-like, microcephaly associated (Drosophila) 142 NM_003662 PIR Pirin (iron-binding nuclear protein) 143 NM_015416 LETMD1 LETM1 domain containing 1 144 AI810244 MGC7036 Hypothetical protein MGC7036 145 R70506 CDNA FLJ26120 fis, clone SYN00419 146 NM_012177 FBXO5 F-box protein 5 147 NM_012429 SEC14L2 SEC14-like 2 (S. cerevisiae) 148 AL133603 PLEKHA1 Pleckstrin homology domain containing, family A (phosphoinositide binding specific) member 1 149 AI669860 ZDHHC20 Zinc finger, DHHC-type containing 20 150 NM_013437 LRP12 Low density lipoprotein-related protein 12 151 NM_003676 DEGS1 Degenerative spermatocyte homolog 1, lipid desaturase (Drosophila) 152 AA828380 HIF1A Hypoxia-inducible factor 1, alpha subunit (basic helix-loop-helix transcription factor) 153 AL137502 RRAGD Ras-related GTP binding D 154 AB033043 KIAA1217 KIAA1217 155 AA553367 HIF1A Hypoxia-inducible factor 1, alpha subunit (basic helix-loop-helix transcription factor) 156 AL133619 CCDC74B Coiled-coil domain containing 74B 157 NM_006372 SYNCRIP Synaptotagmin binding, cytoplasmic RNA interacting protein 158 NM_006201 PCTK1 PCTAIRE protein kinase 1 159 NM_016569 TBX3 T-box 3 (ulnar mammary syndrome) 160 NM_012214 MGAT4A Mannosyl (alpha-1,3-)- glycoprotein beta-1,4-N- acetylglucosaminyltransferase, isozyme A 161 AA524005 TMEM64 Transmembrane protein 64 162 N33100 Data not found 163 AI820045 RHBDF2 Rhomboid 5 homolog 2 (Drosophila) 164 AI222165 PABPC1 Poly(A) binding protein, cytoplasmic 1 165 NM_018004 TMEM45A Transmembrane protein 45A 166 X94232 MAPRE2 Microtubule-associated protein, RP/EB family, member 2 167 AI095706 CD163L1 CD163 molecule-like 1 168 D25328 PFKP Phosphofructokinase, platelet 169 NM_004480 FUT8 Fucosyltransferase 8 (alpha (1,6) fucosyltransferase) 170 NM_006096 NDRG1 N-myc downstream regulated gene 1 171 AB032973 MULK Multiple substrate lipid kinase 172 NM_004798 KIF3B Kinesin family member 3B 173 NM_004603 NCF1 Neutrophil cytosolic factor 1, (chronic granulomatous disease, autosomal 1) 174 NM_002811 PSMD7 Proteasome (prosome, macropain) 26S subunit, non- ATPase, 7 (Mov34 homolog) 175 NM_018454 NUSAP1 Nucleolar and spindle associated protein 1 176 NM_001905 CTPS CTP synthase 177 NM_014363 SACS Spastic ataxia of Charlevoix- Saguenay (sacsin) 178 AA579843 C11orf48 Chromosome 11 open reading frame 48 179 NM_000507 FBP1 Fructose-1,6-bisphosphatase 1 180 AB037745 KIAA1324 KIAA1324 181 AA703254 TBX19 T-box 19 182 AI310524 NIPA1 Non imprinted in Prader- Willi/Angelman syndrome 1 183 NM_005496 SMC4 SMC4 structural maintenance of chromosomes 4-like 1 (yeast) 184 AI657153 TMEM25 Transmembrane protein 25 185 NM_001333 CTSL2 Cathepsin L2 186 NM_001007 RPS4X Ribosomal protein S4, X-linked 187 NM_006115 PRAME Preferentially expressed antigen in melanoma 188 AL050021 SLC7A1 Solute carrier family 7 (cationic amino acid transporter, y+ system), member 1 189 AA632295 STON2 Stonin 2 190 AI313222 C13orf3 Chromosome 13 open reading frame 3 191 L27560 IGFBP5 Insulin-like growth factor binding protein 5 192 NM_018104 Data not found 193 AI151442 RASL11B RAS-like, family 11, member B 194 NM_001124 ADM Adrenomedullin 195 AI925240 GSDMDC1 Gasdermin domain containing 1 196 NM_012261 C20orf103 Chromosome 20 open reading frame 103 197 NM_018120 ARMC1 Armadillo repeat containing 1 198 NM_020244 CHPT1 Choline phosphotransferase 1 199 NM_014078 MRPL13 Mitochondrial ribosomal protein L13 200 NM_015434 INTS7 Integrator complex subunit 7 201 AI080735 RRM2 Ribonucleotide reductase M2 polypeptide 202 AI261191 ZNF627 Zinc finger protein 627 203 N38757 C1orf198 Chromosome 1 open reading frame 198 204 NM_001827 CKS2 CDC28 protein kinase regulatory subunit 2 205 AA994026 COL23A1 Collagen, type XXIII, alpha 1 206 AI765936 Transcribed locus, strongly similar to XP_510292.1 PREDICTED: hypothetical protein XP_510292 [Pan troglodytes] 207 NM_002570 PCSK6 Proprotein convertase subtilisin/kexin type 6 208 AA921830 MLF1IP MLF1 interacting protein 209 U58033 MTMR2 Myotubularin related protein 2 210 NM_014754 PTDSS1 Phosphatidylserine synthase 1 211 NM_002900 RBP3 Retinol binding protein 3, interstitial 212 AL050090 MYRIP Myosin VIIA and Rab interacting protein 213 NM_015417 C20orf28 Chromosome 20 open reading frame 28 214 H30384 Transcribed locus 215 NM_005342 HMGB3 High-mobility group box 3 216 AI857856 KIF21A Kinesin family member 21A 217 NM_016337 EVL Enah/Vasp-like 218 AI479658 RBED1 RNA binding motif and ELMO/CED-12 domain 1 219 NM_004358 CDC25B Cell division cycle 25B 220 AW083338 ALDH6A1 Aldehyde dehydrogenase 6 family, member A1 221 NM_002358 MAD2L1 MAD2 mitotic arrest deficient-like 1 (yeast) 222 AA932206 ACE Angiotensin I converting enzyme (peptidyl-dipeptidase A) 1 223 AF052159 PTPLB Protein tyrosine phosphatase-like (proline instead of catalytic arginine), member b 224 NM_019013 FAM64A Family with sequence similarity 64, member A 225 NM_013296 GPSM2 G-protein signalling modulator 2 (AGS3-like, C. elegans) 226 AI951530 MGC16385 Hypothetical protein MGC16385 227 AL137295 MLLT10 Myeloid/lymphoid or mixed- lineage leukemia (trithorax homolog, Drosophila); translocated to, 10 228 AI479633 KIAA1683 KIAA1683 229 AL080110 PAQR3 Progestin and adipoQ receptor family member III 230 NM_003234 TFRC Transferrin receptor (p90, CD71) 231 NM_020675 SPBC25 Spindle pole body component 25 homolog (S. cerevisiae)

TABLE 3 GenBankAccession# GeneSymbol Description 1 Y10659 IL13RA1 Interleukin 13 receptor, alpha 1 2 XM_376516 3 X98834 SALL2 Sal-like 2 (Drosophila) 4 X69433 IDH2 Isocitrate dehydrogenase 2 (NADP+), mitochondrial 5 X16468 COL2A1 Collagen, type II, alpha 1 (primary osteoarthritis, spondyloepiphyseal dysplasia, congenital) 6 W70343 LOX Lysyl oxidase 7 W68711 C9orf91 Chromosome 9 open reading frame 91 8 W37375 DNAJC8 DnaJ (Hsp40) homolog, subfamily C, member 8 9 U90030 BICD1 Bicaudal D homolog 1 (Drosophila) 10 U67206 CASP7 Caspase 7, apoptosis-related cysteine peptidase 11 U65410 MAD2L1 MAD2 mitotic arrest deficient-like 1 (yeast) 12 U58515 CHI3L2 Chitinase 3-like 2 13 U57059 TNFSF10 Tumor necrosis factor (ligand) superfamily, member 10 14 U41654 RRAGA Ras-related GTP binding A 15 U38847 TARBP1 Tar (HIV-1) RNA binding protein 1 16 U07802 17 U03100 CTNNA1 Catenin (cadherin-associated protein), alpha 1, 102 kDa 18 T60160 GABARAPL1 GABA(A) receptor-associated protein like 1 19 T57841 UFD1L Ubiquitin fusion degradation 1 like (yeast) 20 T55569 C12orf44 Chromosome 12 open reading frame 44 21 T47815 PSME1 Proteasome (prosome, macropain) activator subunit 1 (PA28 alpha) 22 S79267 CD4 CD4 molecule 23 R92446 24 R62612 FN1 Fibronectin 1 25 R48844 COL1A1 Collagen, type I, alpha 1 26 R39094 ANKHD1 Ankyrin repeat and KH domain containing 1 27 NM_203330 CD59 CD59 molecule, complement regulatory protein 28 NM_199075 29 NM_198433 AURKA Aurora kinase A 30 NM_198129 LAMA3 Laminin, alpha 3 31 NM_156036 32 NM_153490 KRT17 Keratin 17 33 NM_152866 MS4A1 Membrane-spanning 4-domains, subfamily A, member 1 34 NM_130439 MXI1 MAX interactor 1 35 NM_057158 DUSP4 Dual specificity phosphatase 4 36 NM_033292 CASP1 Caspase 1, apoptosis-related cysteine peptidase (interleukin 1, beta, convertase) 37 NM_032853 MUM1 Melanoma associated antigen (mutated) 1 38 NM_031966 CCNB1 Cyclin B1 39 NM_030819 GFOD2 Glucose-fructose oxidoreductase domain containing 2 40 NM_030766 BCL2L14 BCL2-like 14 (apoptosis facilitator) 41 NM_024629 MLF1IP MLF1 interacting protein 42 NM_022916 VPS33A Vacuolar protein sorting 33 homolog A (S. cerevisiae) 43 NM_022841 RFXDC2 Regulatory factor X domain containing 2 44 NM_022829 SLC13A3 Solute carrier family 13 (sodium-dependent dicarboxylate transporter), member 3 45 NM_021800 DNAJC12 DnaJ (Hsp40) homolog, subfamily C, member 12 46 NM_020974 SCUBE2 Signal peptide, CUB domain, EGF-like 2 47 NM_020675 SPBC25 Spindle pole body component 25 homolog (S. cerevisiae) 48 NM_020470 YIF1A Yip1 interacting factor homolog A (S. cerevisiae) 49 NM_020153 C11orf60 Chromosome 11 open reading frame 60 50 NM_020038 51 NM_018944 C21orf45 Chromosome 21 open reading frame 45 52 NM_018558 GABRQ Gamma-aminobutyric acid (GABA) receptor, theta 53 NM_017859 UCKL1 Uridine-cytidine kinase 1-like 1 54 NM_017760 LUZP5 Leucine zipper protein 5 55 NM_017612 ZCCHC8 Zinc finger, CCHC domain containing 8 56 NM_017534 MYH2 Myosin, heavy polypeptide 2, skeletal muscle, adult 57 NM_016730 FOLR1 Folate receptor 1 (adult) 58 NM_016548 GOLPH2 Golgi phosphoprotein 2 59 NM_016524 SYT17 Synaptotagmin XVII 60 NM_016343 CENPF Centromere protein F, 350/400ka (mitosin) 61 NM_015997 C1orf66 Chromosome 1 open reading frame 66 62 NM_015905 TRIM24 Tripartite motif-containing 24 63 NM_015254 KIF13B Kinesin family member 13B 64 NM_014845 KIAA0274 KIAA0274 65 NM_014796 66 NM_014615 KIAA0182 KIAA0182 67 NM_014612 FAM120A Chromosome 9 open reading frame 10 68 NM_014338 PISD Phosphatidylserine decarboxylase 69 NM_014109 ATAD2 ATPase family, AAA domain containing 2 70 NM_014042 C11orf51 Chromosome 11 open reading frame 51 71 NM_013936 OR12D2 Olfactory receptor, family 12, subfamily D, member 2 72 NM_013411 AK2 Adenylate kinase 2 73 NM_013296 GPSM2 G-protein signalling modulator 2 (AGS3-like, C. elegans) 74 NM_013279 C11orf9 Chromosome 11 open reading frame 9 75 NM_012324 MAPK8IP2 Mitogen-activated protein kinase 8 interacting protein 2 76 NM_012319 SLC39A6 Solute carrier family 39 (zinc transporter), member 6 77 NM_007315 STAT1 Signal transducer and activator of transcription 1, 91 kDa 78 NM_007295 BRCA1 Breast cancer 1, early onset 79 NM_007203 PALM2- PALM2-AKAP2 protein AKAP2 80 NM_007192 SUPT16H Suppressor of Ty 16 homolog (S. cerevisiae) 81 NM_007014 WWP2 WW domain containing E3 ubiquitin protein ligase 2 82 NM_006965 ZNF24 Zinc finger protein 24 83 NM_006930 SKP1A S-phase kinase-associated protein 1A (p19A) 84 NM_006766 MYST3 MYST histone acetyltransferase (monocytic leukemia) 3 85 NM_006720 ABLIM1 Actin binding LIM protein 1 86 NM_006596 87 NM_006534 NCOA3 Nuclear receptor coactivator 3 88 NM_006437 PARP4 Poly (ADP-ribose) polymerase family, member 4 89 NM_006416 SLC35A1 Solute carrier family 35 (CMP-sialic acid transporter), member A1 90 NM_006410 HTATIP2 HIV-1 Tat interactive protein 2, 30 kDa 91 NM_006379 SEMA3C Sema domain, immunoglobulin domain (Ig), short basic domain, secreted, (semaphorin) 3C 92 NM_006314 CNKSR1 Connector enhancer of kinase suppressor of Ras 1 93 NM_006243 PPP2R5A Protein phosphatase 2, regulatory subunit B (B56), alpha isoform 94 NM_006197 PCM1 Pericentriolar material 1 95 NM_005940 MMP11 Matrix metallopeptidase 11 (stromelysin 3) 96 NM_005901 SMAD2 SMAD, mothers against DPP homolog 2 (Drosophila) 97 NM_005729 PPIF Peptidylprolyl isomerase F (cyclophilin F) 98 NM_005496 SMC4 SMC4 structural maintenance of chromosomes 4-like 1 (yeast) 99 NM_005441 CHAF1B Chromatin assembly factor 1, subunit B (p60) 100 NM_005426 TP53BP2 Tumor protein p53 binding protein, 2 101 NM_005318 H1F0 H1 histone family, member 0 102 NM_005310 GRB7 Growth factor receptor-bound protein 7 103 NM_005256 FANCF Fanconi anemia, complementation group F 104 NM_005056 JARID1A Jumonji, AT rich interactive domain 1A (RBBP2-like) 105 NM_005030 PLK1 Polo-like kinase 1 (Drosophila) 106 NM_004911 PDIA4 Protein disulfide isomerase family A, member 4 107 NM_004859 CLTC Clathrin, heavy polypeptide (Hc) 108 NM_004711 SYNGR1 Synaptogyrin 1 109 NM_004703 RABEP1 Rabaptin, RAB GTPase binding effector protein 1 110 NM_004702 111 NM_004670 PAPSS2 3′-phosphoadenosine 5′-phosphosulfate synthase 2 112 NM_004659 113 NM_004631 LRP8 Low density lipoprotein receptor-related protein 8, apolipoprotein e receptor 114 NM_004470 FKBP2 FK506 binding protein 2, 13 kDa 115 NM_004457 ACSL3 Acyl-CoA synthetase long-chain family member 3 116 NM_004448 ERBB2 V-erb-b2 erythroblastic leukemia viral oncogene homolog 2, neuro/glioblastoma derived oncogene homolog (avian) 117 NM_004360 CDH1 Cadherin 1, type 1, E-cadherin (epithelial) 118 NM_004346 CASP3 Caspase 3, apoptosis-related cysteine peptidase 119 NM_004323 BAG1 BCL2-associated athanogene 120 NM_004111 FEN1 Flap structure-specific endonuclease 1 121 NM_003902 FUBP1 Far upstream element (FUSE) binding protein 1 122 NM_003869 CES2 Carboxylesterase 2 (intestine, liver) 123 NM_003845 DYRK4 Dual-specificity tyrosine-(Y)-phosphorylation regulated kinase 4 124 NM_003824 FADD Fas (TNFRSF6)-associated via death domain 125 NM_003600 AURKA Aurora kinase A 126 NM_003543 HIST1H4H Histone 1, H4h 127 NM_003489 NRIP1 Nuclear receptor interacting protein 1 128 NM_003243 TGFBR3 Transforming growth factor, beta receptor III (betaglycan, 300 kDa) 129 NM_003234 TFRC Transferrin receptor (p90, CD71) 130 NM_003200 TCF3 Transcription factor 3 (E2A immunoglobulin enhancer binding factors E12/E47) 131 NM_003107 SOX4 SRY (sex determining region Y)-box 4 132 NM_002996 CX3CL1 Chemokine (C—X3—C motif) ligand 1 133 NM_002916 RFC4 Replication factor C (activator 1) 4, 37 kDa 134 NM_002894 RBBP8 Retinoblastoma binding protein 8 135 NM_002840 PTPRF Protein tyrosine phosphatase, receptor type, F 136 NM_002803 PSMC2 Proteasome (prosome, macropain) 26S subunit, ATPase, 2 137 NM_002740 PRKCI Protein kinase C, iota 138 NM_002710 PPP1CC Protein phosphatase 1, catalytic subunit, gamma isoform 139 NM_002690 POLB Polymerase (DNA directed), beta 140 NM_002633 PGM1 Phosphoglucomutase 1 141 NM_002466 MYBL2 V-myb myeloblastosis viral oncogene homolog (avian)- like 2 142 NM_002439 MSH3 MutS homolog 3 (E. coli) 143 NM_002417 MKI67 Antigen identified by monoclonal antibody Ki-67 144 NM_002388 MCM3 MCM3 minichromosome maintenance deficient 3 (S. cerevisiae) 145 NM_002196 INSM1 Insulinoma-associated 1 146 NM_002047 GARS Glycyl-tRNA synthetase 147 NM_002046 GAPDH Glyceraldehyde-3-phosphate dehydrogenase 148 NM_001958 EEF1A2 Eukaryotic translation elongation factor 1 alpha 2 149 NM_001903 CTNNA1 Catenin (cadherin-associated protein), alpha 1, 102 kDa 150 NM_001813 CENPE Centromere protein E, 312 kDa 151 NM_001806 CEBPG CCAAT/enhancer binding protein (C/EBP), gamma 152 NM_001800 CDKN2D Cyclin-dependent kinase inhibitor 2D (p19, inhibits CDK4) 153 NM_001710 CFB Complement factor B 154 NM_001615 ACTG2 Actin, gamma 2, smooth muscle, enteric 155 NM_001562 IL18 Interleukin 18 (interferon-gamma-inducing factor) 156 NM_001453 FOXC1 Forkhead box C1 157 NM_001394 DUSP4 Dual specificity phosphatase 4 158 NM_001379 DNMT1 DNA (cytosine-5-)-methyltransferase 1 159 NM_001333 CTSL2 Cathepsin L2 160 NM_001316 CSE1L CSE1 chromosome segregation 1-like (yeast) 161 NM_001251 EIF4A1 Eukaryotic translation initiation factor 4A, isoform 1 162 NM_001175 ARHGDIB Rho GDP dissociation inhibitor (GDI) beta 163 NM_001168 BIRC5 Baculoviral IAP repeat-containing 5 (survivin) 164 NM_001144 AMFR Autocrine motility factor receptor 165 NM_001101 ACTB Actin, beta 166 NM_001068 TOP2B Topoisomerase (DNA) II beta 180 kDa 167 NM_001067 TOP2A Topoisomerase (DNA) II alpha 170 kDa 168 NM_001002 RPLP0 Ribosomal protein, large, P0 169 NM_000947 PRIM2A Primase, polypeptide 2A, 58 kDa 170 NM_000926 PGR Progesterone receptor 171 NM_000849 GSTM3 Glutathione S-transferase M3 (brain) 172 NM_000633 BCL2 B-cell CLL/lymphoma 2 173 NM_000561 GSTM1 Glutathione S-transferase M1 174 NM_000401 EXT2 Exostoses (multiple) 2 175 NM_000346 SOX9 SRY (sex determining region Y)-box 9 (campomelic dysplasia, autosomal sex-reversal) 176 NM_000337 SGCD Sarcoglycan, delta (35 kDa dystrophin-associated glycoprotein) 177 NM_000311 PRNP Prion protein (p27-30) (Creutzfeldt-Jakob disease, Gerstmann-Strausler-Scheinker syndrome, fatal familial insomnia) 178 NM_000302 PLOD1 Procollagen-lysine 1,2-oxoglutarate 5-dioxygenase 1 179 NM_000213 ITGB4 Integrin, beta 4 180 NM_000181 GUSB Glucuronidase, beta 181 NM_000135 FANCA Fanconi anemia, complementation group A 182 NM_000125 ESR1 Estrogen receptor 1 183 NM_000096 CP Ceruloplasmin (ferroxidase) 184 NM_000064 C3 Complement component 3 185 N95358 MYO1B Myosin IB 186 N72215 PSAP Prosaposin (variant Gaucher disease and variant metachromatic leukodystrophy) 187 N68825 KIAA0133 KIAA0133 188 N67797 DBR1 Debranching enzyme homolog 1 (S. cerevisiae) 189 N51614 FMNL1 Formin-like 1 190 N22323 RP6- Serine/threonine protein kinase MST4 213H19.1 191 M55580 SAT Spermidine/spermine N1-acetyltransferase 192 M23254 CAPN2 Calpain 2, (m/ll) large subunit 193 J05581 MUC1 Mucin 1, cell surface associated 194 J03798 SNRPD1 Small nuclear ribonucleoprotein D1 polypeptide 16 kDa 195 H96654 WBP5 WW domain binding protein 5 196 H95960 SPARC Secreted protein, acidic, cysteine-rich (osteonectin) 197 H85475 FLJ34306 FLJ34306 protein 198 H85107 199 H72683 C10orf9 Chromosome 10 open reading frame 9 200 H71881 CAMTA1 Calmodulin binding transcription activator 1 201 H63760 TSPAN5 Tetraspanin 5 202 H59048 NFATC3 Nuclear factor of activated T-cells, cytoplasmic, calcineurin-dependent 3 203 H29308 WDR51B WD repeat domain 51B 204 H01495 TRAM1 Translocation associated membrane protein 1 205 D89324 206 D87448 TOPBP1 Topoisomerase (DNA) II binding protein 1 207 D79995 TTLL4 Tubulin tyrosine ligase-like family, member 4 208 D63487 TTLL12 Tubulin tyrosine ligase-like family, member 12 209 BX649106 EXOSC9 Exosome component 9 210 BX649090 INPP4B Inositol polyphosphate-4-phosphatase, type II, 105 kDa 211 BX648387 LOC285086 Hypothetical protein LOC285086 212 BX648364 TCF7L2 Transcription factor 7-like 2 (T-cell specific, HMG-box) 213 BX648308 CHI3L1 Chitinase 3-like 1 (cartilage glycoprotein-39) 214 BX648303 SLC9A3R1 Solute carrier family 9 (sodium/hydrogen exchanger), member 3 regulator 1 215 BX648034 NDUFB5 NADH dehydrogenase (ubiquinone) 1 beta subcomplex, 5, 16 kDa 216 BX647539 BLVRA Biliverdin reductase A 217 BX647392 218 BX647212 ARNT2 Aryl-hydrocarbon receptor nuclear translocator 2 219 BX647151 MYBL2 V-myb myeloblastosis viral oncogene homolog (avian)- like 2 220 BX640616 221 BX538158 STX3 Syntaxin 3 222 BX538009 HIPK2 Homeodomain interacting protein kinase 2 223 BX537826 224 BX537705 PRKACB Protein kinase, cAMP-dependent, catalytic, beta 225 BX537698 NFIB Nuclear factor I/B 226 BX537500 PDCD4 Programmed cell death 4 (neoplastic transformation inhibitor) 227 BX537379 H3F3B H3 histone, family 3B (H3.3B) 228 BU739088 PSMA3 Proteasome (prosome, macropain) subunit, alpha type, 3 229 BU739068 LSM1 LSM1 homolog, U6 small nuclear RNA associated (S. cerevisiae) 230 BU730089 PARD6A Par-6 partitioning defective 6 homolog alpha (C. elegans) 231 BU729963 RBX1 Ring-box 1 232 BU729319 RAB3A RAB3A, member RAS oncogene family 233 BU536516 TFF3 Trefoil factor 3 (intestinal) 234 BQ898943 CKS2 CDC28 protein kinase regulatory subunit 2 235 BQ894155 IGFBP2 Insulin-like growth factor binding protein 2, 36 kDa 236 BQ688566 MMP7 Matrix metallopeptidase 7 (matrilysin, uterine) 237 BQ278502 PTTG1 Pituitary tumor-transforming 1 238 BQ278454 CKS1B CDC28 protein kinase regulatory subunit 1B 239 BQ073581 NINJ1 Ninjurin 1 240 BQ056428 TYMS Thymidylate synthetase 241 BQ056337 CDKN3 Cyclin-dependent kinase inhibitor 3 (CDK2-associated dual specificity phosphatase) 242 BM994509 SOD2 Superoxide dismutase 2, mitochondrial 243 BM926728 GSTP1 Glutathione S-transferase pi 244 BM924855 IMPA2 Inositol(myo)-1(or 4)-monophosphatase 2 245 BM920905 C10orf116 Chromosome 10 open reading frame 116 246 BM916335 ISG15 ISG15 ubiquitin-like modifier 247 BM911641 COX5A Cytochrome c oxidase subunit Va 248 BM909357 BIRC5 Baculoviral IAP repeat-containing 5 (survivin) 249 BM907902 ETFA Electron-transfer-flavoprotein, alpha polypeptide (glutaric aciduria II) 250 BM907771 ARPC1B Actin related protein 2/3 complex, subunit 1B, 41 kDa 251 BM809638 NME1 Non-metastatic cells 1, protein (NM23A) expressed in 252 BM701438 Transcribed locus 253 BM701226 NCF1 Neutrophil cytosolic factor 1, (chronic granulomatous disease, autosomal 1) 254 BM701128 TMEM126A Transmembrane protein 126A 255 BM690957 TCEAL1 Transcription elongation factor A (SII)-like 1 256 BM545518 NDUFA7 NADH dehydrogenase (ubiquinone) 1 alpha subcomplex, 7, 14.5 kDa 257 BM542397 TSG101 Tumor susceptibility gene 101 258 BM470905 CSRP2 Cysteine and glycine-rich protein 2 259 BM462434 YIF1A Yip1 interacting factor homolog A (S. cerevisiae) 260 BM458012 IFI6 Interferon, alpha-inducible protein 6 261 BG827359 SEC61G Sec61 gamma subunit 262 BG324446 FBL Fibrillarin 263 BG114681 NME1 Non-metastatic cells 1, protein (NM23A) expressed in 264 BF972232 GSTK1 Glutathione S-transferase kappa 1 265 BF790785 CD38 CD38 molecule 266 BF572330 RPL11 Ribosomal protein L11 267 BF569100 KRT18 Keratin 18 268 BF569085 CYC1 Cytochrome c-1 269 BF217712 270 BF210063 IFITM1 Interferon induced transmembrane protein 1 (9-27) 271 BF204697 PHB2 Prohibitin 2 272 BF055474 PHF11 PHD finger protein 11 273 BF055311 NEFL Neurofilament, light polypeptide 68 kDa 274 BE896331 PCNA Proliferating cell nuclear antigen 275 BE748755 CBX3 Chromobox homolog 3 (HP1 gamma homolog, Drosophila) 276 BC071593 KIT V-kit Hardy-Zuckerman 4 feline sarcoma viral oncogene homolog 277 BC071577 278 BC068438 GART Phosphoribosylglycinamide formyltransferase, phosphoribosylglycinamide synthetase, phosphoribosylaminoimidazole synthetase 279 BC063817 WDR26 WD repeat domain 26 280 BC063289 C4A Complement component 4A (Rodgers blood group) 281 BC063281 SREBF1 Sterol regulatory element binding transcription factor 1 282 BC059394 LYN V-yes-1 Yamaguchi sarcoma viral related oncogene homolog 283 BC054491 EIF2C2 Eukaryotic translation initiation factor 2C, 2 284 BC050420 MTHFD1 Methylenetetrahydrofolate dehydrogenase (NADP+ dependent) 1, methenyltetrahydrofolate cyclohydrolase, formyltetrahydrofolate synthetase 285 BC048292 ARF3 ADP-ribosylation factor 3 286 BC046477 C11orf54 Chromosome 11 open reading frame 54 287 BC044929 COX17 COX17 cytochrome c oxidase assembly homolog (S. cerevisiae) 288 BC043352 ZBTB4 Zinc finger and BTB domain containing 4 289 BC042178 CXCL9 Chemokine (C—X—C motif) ligand 9 290 BC041846 CDH3 Cadherin 3, type 1, P-cadherin (placental) 291 BC039269 NALP2 NACHT, leucine rich repeat and PYD containing 2 292 BC038505 BAG4 BCL2-associated athanogene 4 293 BC038114 ST6GALNAC2 ST6 (alpha-N-acetyl-neuraminyl-2,3-beta-galactosyl-1,3)- N-acetylgalactosaminide alpha-2,6-sialyltransferase 2 294 BC037236 DUSP6 Dual specificity phosphatase 6 295 BC036702 CDNA clone IMAGE: 5266735 296 BC036520 KIAA0251 KIAA0251 protein 297 BC036503 SFRP1 Secreted frizzled-related protein 1 298 BC036314 FAM3B Family with sequence similarity 3, member B 299 BC035854 DSCR1L2 Down syndrome critical region gene 1-like 2 300 BC035716 ISGF3G Interferon-stimulated transcription factor 3, gamma 48 kDa 301 BC035578 STK24 Serine/threonine kinase 24 (STE20 homolog, yeast) 302 BC033517 ACOX2 Acyl-Coenzyme A oxidase 2, branched chain 303 BC031055 HDAC2 Histone deacetylase 2 304 BC029512 PHYH Phytanoyl-CoA 2-hydroxylase 305 BC028578 BIRC2 Baculoviral IAP repeat-containing 2 306 BC028033 MFAP2 Microfibrillar-associated protein 2 307 BC026289 PLDN Pallidin homolog (mouse) 308 BC025232 CDC6 CDC6 cell division cycle 6 homolog (S. cerevisiae) 309 BC024200 FAM3C Family with sequence similarity 3, member C 310 BC022008 PRAME Preferentially expressed antigen in melanoma 311 BC021714 PPFIBP2 PTPRF interacting protein, binding protein 2 (liprin beta 2) 312 BC019092 EPOR Erythropoietin receptor 313 BC017338 FUCA1 Fucosidase, alpha-L-1, tissue 314 BC016341 ISG20 Interferon stimulated exonuclease gene 20 kDa 315 BC014553 RAB3IP RAB3A interacting protein (rabin3) 316 BC013875 MMP1 Matrix metallopeptidase 1 (interstitial collagenase) 317 BC011050 C5orf13 Chromosome 5 open reading frame 13 318 BC010281 ARL6IP ADP-ribosylation factor-like 6 interacting protein 319 BC006793 GATA3 GATA binding protein 3 320 BC006325 GTSE1 G-2 and S-phase expressed 1 321 BC006155 AP2A2 Adaptor-related protein complex 2, alpha 2 subunit 322 BC005978 KPNA2 Karyopherin alpha 2 (RAG cohort 1, importin alpha 1) 323 BC004372 CD44 CD44 molecule (Indian blood group) 324 BC002671 DUSP4 Dual specificity phosphatase 4 325 BC002506 PDCD10 Programmed cell death 10 326 BC001769 TRAF4 TNF receptor-associated factor 4 327 BC001535 UTP18 UTP18, small subunit (SSU) processome component, homolog (yeast) 328 BC001233 CEP57 Centrosomal protein 57 kDa 329 BC001188 TFRC Transferrin receptor (p90, CD71) 330 BC001185 KCTD15 Potassium channel tetramerisation domain containing 15 331 BC000596 RPL23AP7 Ribosomal protein L23a pseudogene 7 332 AY358648 CSNK1G1 Casein kinase 1, gamma 1 333 AY325903 DSCR1 Down syndrome critical region gene 1 334 AY260762 ZFHX4 Zinc finger homeodomain 4 335 AV713720 336 AV693985 337 AL834469 ECHDC1 Enoyl Coenzyme A hydratase domain containing 1 338 AL833264 FEM1B Fem-1 homolog b (C. elegans) 339 AL832862 LOC155060 Hypothetical protein LOC155060 340 AL832245 KIAA0020 KIAA0020 341 AL523310 MAP4 Microtubule-associated protein 4 342 AL512688 FABP7 Fatty acid binding protein 7, brain 343 AL442089 KCNH2 Potassium voltage-gated channel, subfamily H (eag- related), member 2 344 AL359937 GSTT1 Glutathione S-transferase theta 1 345 AL137162 346 AL136877 SMC4 SMC4 structural maintenance of chromosomes 4-like 1 (yeast) 347 AL133102 HDGFRP3 Hepatoma-derived growth factor, related protein 3 348 AL117652 MRNA; cDNA DKFZp586B1324 (from clone DKFZp586B1324) 349 AL117478 GPSM1 G-protein signalling modulator 1 (AGS3-like, C. elegans) 350 AL110212 H2AFV H2A histone family, member V 351 AL050227 PTGER3 Prostaglandin E receptor 3 (subtype EP3) 352 AL049783 PFAAP5 Phosphonoformate immuno-associated protein 5 353 AK131568 354 AK131563 AHCYL1 S-adenosylhomocysteine hydrolase-like 1 355 AK130583 PCBP2 Poly(rC) binding protein 2 356 AK127672 CSK C-src tyrosine kinase 357 AK127456 PSMC6 Proteasome (prosome, macropain) 26S subunit, ATPase, 6 358 AK126315 NCF1 Neutrophil cytosolic factor 1, (chronic granulomatous disease, autosomal 1) 359 AK125855 DAZAP2 DAZ associated protein 2 360 AK125710 CD58 CD58 molecule 361 AK125625 ARHGDIB Rho GDP dissociation inhibitor (GDI) beta 362 AK125307 FGF12 Fibroblast growth factor 12 363 AK124774 PDCD5 Programmed cell death 5 364 AK124323 NMI N-myc (and STAT) interactor 365 AK123590 PIGT Phosphatidylinositol glycan, class T 366 AK123477 IFI30 Interferon, gamma-inducible protein 30 367 AK122841 GDI2 GDP dissociation inhibitor 2 368 AK098329 369 AK098055 GATM Glycine amidinotransferase (L-arginine:glycine amidinotransferase) 370 AK096865 CDV3 CDV3 homolog (mouse) 371 AK096284 LFNG Lunatic fringe homolog (Drosophila) 372 AK096006 CRABP1 Cellular retinoic acid binding protein 1 373 AK095669 374 AK095316 SNRPB2 Small nuclear ribonucleoprotein polypeptide B” 375 AK094899 SHFM1 Split hand/foot malformation (ectrodactyly) type 1 376 AK094855 PPOX Protoporphyrinogen oxidase 377 AK094784 BMP7 Bone morphogenetic protein 7 (osteogenic protein 1) 378 AK094534 CCNH Cyclin H 379 AK094393 380 AK093917 KDELR2 KDEL (Lys-Asp-Glu-Leu) endoplasmic reticulum protein retention receptor 2 381 AK093842 XBP1 X-box binding protein 1 382 AK093775 CD3D CD3d molecule, delta (CD3-TCR complex) 383 AK093096 CLGN Calmegin 384 AK092726 RCC1 Regulator of chromosome condensation 1 385 AK092638 CCNG2 Cyclin G2 386 AK092391 CST6 Cystatin E/M 387 AK092210 MAP3K15 Mitogen-activated protein kinase kinase kinase 15 388 AK092094 CDNA FLJ34775 fis, clone NT2NE2003315 389 AK091644 UBE2Z Ubiquitin-conjugating enzyme E2Z (putative) 390 AK091579 STARD3NL STARD3 N-terminal like 391 AK091034 CDNA FLJ33715 fis, clone BRAWH2008577 392 AK090462 393 AK057302 GALE UDP-galactose-4-epimerase 394 AK057117 SSR4 Signal sequence receptor, delta (translocon-associated protein delta) 395 AK056821 SAR1B SAR1 gene homolog B (S. cerevisiae) 396 AK055699 LYPD6 Hypothetical protein MGC52057 397 AK055249 UCHL1 Ubiquitin carboxyl-terminal esterase L1 (ubiquitin thiolesterase) 398 AK054976 HINT1 Histidine triad nucleotide binding protein 1 399 AK054596 IGBP1 Immunoglobulin (CD79A) binding protein 1 400 AK027271 CDC2 Cell division cycle 2, G1 to S and G2 to M 401 AK027032 GLG1 Golgi apparatus protein 1 402 AK025738 ASF1A ASF1 anti-silencing function 1 homolog A (S. cerevisiae) 403 AK023925 C10orf7 Chromosome 10 open reading frame 7 404 AK023803 ARF1 ADP-ribosylation factor 1 405 AK021842 FLJ25476 FLJ25476 protein 406 AK001562 C17orf63 Chromosome 17 open reading frame 63 407 AK001548 GTPBP4 GTP binding protein 4 408 AK001280 HDGFRP3 Hepatoma-derived growth factor, related protein 3 409 AJ606319 MYB V-myb myeloblastosis viral oncogene homolog (avian) 410 AJ551176 SDC1 Syndecan 1 411 AJ536056 FUT8 Fucosyltransferase 8 (alpha (1,6) fucosyltransferase) 412 AJ318054 SRPK1 SFRS protein kinase 1 413 AJ296290 WNK1 WNK lysine deficient protein kinase 1 414 AI733259 Transcribed locus, strongly similar to NP_004356.2 centrin 3; homolog of S. cerevisiae CDC31; CDC31 yeast homolog; EF-hand superfamily member; centrin, EF-hand protein, 3 (CDC31 yeast homolog) [Homo sapiens] 415 AI676033 ISG20L2 Interferon stimulated exonuclease gene 20 kDa-like 2 416 AI669875 FAM8A1 Family with sequence similarity 8, member A1 417 AI636233 TMEM8 Transmembrane protein 8 (five membrane-spanning domains) 418 AI493245 CD44 CD44 molecule (Indian blood group) 419 AI364298 PRPSAP2 Phosphoribosyl pyrophosphate synthetase-associated protein 2 420 AI359120 CHD6 Chromodomain helicase DNA binding protein 6 421 AI340932 GENX-3414 Genethonin 1 422 AI266693 NAT9 N-acetyltransferase 9 423 AI083527 424 AI057637 ACACB Acetyl-Coenzyme A carboxylase beta 425 AF519769 ENAH Enabled homolog (Drosophila) 426 AF467287 LRBA LPS-responsive vesicle trafficking, beach and anchor containing 427 AF220152 TACC2 Transforming, acidic coiled-coil containing protein 2 428 AF125507 ORC3L Origin recognition complex, subunit 3-like (yeast) 429 AF123759 CLN8 Ceroid-lipofuscinosis, neuronal 8 (epilepsy, progressive with mental retardation) 430 AF114013 TNFSF13 Tumor necrosis factor (ligand) superfamily, member 13 431 AF114012 TNFSF13 Tumor necrosis factor (ligand) superfamily, member 13 432 AF053305 BUB1 BUB1 budding uninhibited by benzimidazoles 1 homolog (yeast) 433 AF051151 TLR5 Toll-like receptor 5 434 AF041410 MAG Malignancy-associated protein 435 AB049150 PEG10 Paternally expressed 10 436 AB014607 ACOT11 Acyl-CoA thioesterase 11 437 AB008112 PEX1 Peroxisome biogenesis factor 1 438 AB002385 PTPRN2 Protein tyrosine phosphatase, receptor type, N polypeptide 2 439 AA975556 FLJ22709 Hypothetical protein FLJ22709 440 AA933888 CXADR Coxsackie virus and adenovirus receptor 441 AA912071 DLX2 Distal-less homeobox 2 442 AA886199 C1orf34 Chromosome 1 open reading frame 34 443 AA775791 ZDHHC16 Zinc finger, DHHC-type containing 16 444 AA772093 NEURL Neuralized-like (Drosophila) 445 AA703184 EZH1 Enhancer of zeste homolog 1 (Drosophila) 446 AA679940 TXN2 Thioredoxin 2 447 AA677388 ITIH1 Inter-alpha (globulin) inhibitor H1 448 AA669758 NPM1 Nucleophosmin (nucleolar phosphoprotein B23, numatrin) 449 AA668425 AGL Amylo-1,6-glucosidase, 4-alpha-glucanotransferase (glycogen debranching enzyme, glycogen storage disease type III) 450 AA663983 TPI1 Triosephosphate isomerase 1 451 AA644587 Transcribed locus 452 AA626362 WFDC6 WAP four-disulfide core domain 6 453 AA625960 MCFP Mitochondrial carrier family protein 454 AA598955 TNC Tenascin C (hexabrachion) 455 AA504120 CDNA FLJ35270 fis, clone PROST2005630 456 AA497029 LDHA Lactate dehydrogenase A 457 AA496000 458 AA489638 SERBP1 SERPINE1 mRNA binding protein 1 459 AA489015 ALG2 Asparagine-linked glycosylation 2 homolog (S. cerevisiae, alpha-1,3-mannosyltransferase) 460 AA486275 SERPINB1 Serpin peptidase inhibitor, clade B (ovalbumin), member 1 461 AA481283 CASP2 Caspase 2, apoptosis-related cysteine peptidase (neural precursor cell expressed, developmentally down- regulated 2) 462 AA479888 RABEP1 Rabaptin, RAB GTPase binding effector protein 1 463 AA479202 TIMP3 TIMP metallopeptidase inhibitor 3 (Sorsby fundus dystrophy, pseudoinflammatory) 464 AA464246 HLA-B Major histocompatibility complex, class I, B 465 AA456931 COX6C Cytochrome c oxidase subunit VIc 466 AA454540 GNAQ Guanine nucleotide binding protein (G protein), q polypeptide 467 AA449773 CDC42EP4 CDC42 effector protein (Rho GTPase binding) 4 468 AA446839 469 AA446193 KIAA0999 KIAA0999 protein 470 AA431187 MRNA; cDNA DKFZp686H1233 (from clone DKFZp686H1233) 471 AA430668|AI732703 472 AA427899 TUBB Tubulin, beta 473 AA418826 LOC400721 Similar to Zinc finger protein 418 474 AA398237 TSC22D1 TSC22 domain family, member 1 475 AA293365 MAP2K4 Mitogen-activated protein kinase kinase 4 476 AA293306 IL4R Interleukin 4 receptor 477 AA279072 INPPL1 Inositol polyphosphate phosphatase-like 1 478 AA206591 Transcribed locus, weakly similar to NP_055301.1 neuronal thread protein AD7c-NTP [Homo sapiens] 479 AA176957 NEB Nebulin 480 AA165628 Transcribed locus 481 AA137228 MKLN1 Muskelin 1, intracellular mediator containing kelch motifs 482 AA137072 PTPRS Protein tyrosine phosphatase, receptor type, S 483 AA054643 PARD6B Par-6 partitioning defective 6 homolog beta (C. elegans) 484 AA046411 APPBP2 Amyloid beta precursor protein (cytoplasmic tail) binding protein 2 485 AA035436 API5 Apoptosis inhibitor 5 486 AA029042 SIAH2 Seven in absentia homolog 2 (Drosophila) 487 AA002091 ACOT12 Acyl-CoA thioesterase 12 488 XM_087225 489 XM_058945 490 XM_047080 491 X55150 492 U86046 493 S78535 494 NM_058216 495 NM_057749 496 NM_053025 497 NM_032989 498 NM_031966 499 NM_023109 500 NM_021975 501 NM_021953 502 NM_021874 503 NM_020974 504 NM_020686 505 NM_019887 506 NM_018463 507 NM_017779 508 NM_017460 509 NM_017458 510 NM_016434 511 NM_015460 512 NM_014791 513 NM_014417 514 NM_014109 515 NM_013407 516 NM_012261 517 NM_012231 518 NM_012177 519 NM_012112 520 NM_007295 521 NM_007194 522 NM_007182 523 NM_006824 524 NM_006744 525 NM_006681 526 NM_006669 527 NM_006526 528 NM_006347 529 NM_006221 530 NM_006206 531 NM_006115 532 NM_005975 533 NM_005954 534 NM_005940 535 NM_005915 536 NM_005778 537 NM_005657 538 NM_005573 539 NM_005562 540 NM_005544 541 NM_005465 542 NM_005441 543 NM_005429 544 NM_005426 545 NM_005378 546 NM_005310 547 NM_005231 548 NM_005228 549 NM_005167 550 NM_005163 551 NM_004994 552 NM_004955 553 NM_004938 554 NM_004846 555 NM_004689 556 NM_004559 557 NM_004530 558 NM_004526 559 NM_004499 560 NM_004496 561 NM_004484 562 NM_004448 563 NM_004383 564 NM_004360 565 NM_004336 566 NM_004324 567 NM_004323 568 NM_004305 569 NM_004219 570 NM_004163 571 NM_004064 572 NM_004060 573 NM_003882 574 NM_003862 575 NM_003844 576 NM_003842 577 NM_003810 578 NM_003766 579 NM_003620 580 NM_003600 581 NM_003579 582 NM_003380 583 NM_003377 584 NM_003376 585 NM_003324 586 NM_003258 587 NM_003257 588 NM_003255 589 NM_003254 590 NM_003242 591 NM_003239 592 NM_003236 593 NM_003234 594 NM_003225 595 NM_003219 596 NM_003194 597 NM_003161 598 NM_003095 599 NM_003056 600 NM_003012 601 NM_002982 602 NM_002899 603 NM_002776 604 NM_002726 605 NM_002659 606 NM_002658 607 NM_002656 608 NM_002645 609 NM_002639 610 NM_002609 611 NM_002608 612 NM_002607 613 NM_002592 614 NM_002539 615 NM_002497 616 NM_002474 617 NM_002467 618 NM_002466 619 NM_002426 620 NM_002417 621 NM_002392 622 NM_002388 623 NM_002354 624 NM_002276 625 NM_002273 626 NM_002253 627 NM_002230 628 NM_002206 629 NM_002166 630 NM_002165 631 NM_002135 632 NM_002127 633 NM_002121 634 NM_002051 635 NM_002046 636 NM_002019 637 NM_002014 638 NM_002012 639 NM_002006 640 NM_001982 641 NM_001968 642 NM_001953 643 NM_001945 644 NM_001912 645 NM_001908 646 NM_001904 647 NM_001769 648 NM_001758 649 NM_001754 650 NM_001657 651 NM_001626 652 NM_001530 653 NM_001511 654 NM_001498 655 NM_001432 656 NM_001333 657 NM_001324 658 NM_001299 659 NM_001274 660 NM_001255 661 NM_001251 662 NM_001238 663 NM_001216 664 NM_001191 665 NM_001188 666 NM_001168 667 NM_001167 668 NM_001166 669 NM_001165 670 NM_001101 671 NM_001071 672 NM_001068 673 NM_001067 674 NM_001002 675 NM_000964 676 NM_000963 677 NM_000926 678 NM_000875 679 NM_000852 680 NM_000849 681 NM_000770 682 NM_000734 683 NM_000693 684 NM_000689 685 NM_000639 686 NM_000633 687 NM_000618 688 NM_000602 689 NM_000600 690 NM_000599 691 NM_000598 692 NM_000597 693 NM_000561 694 NM_000546 695 NM_000526 696 NM_000442 697 NM_000424 698 NM_000422 699 NM_000389 700 NM_000376 701 NM_000362 702 NM_000321 703 NM_000314 704 NM_000269 705 NM_000245 706 NM_000237 707 NM_000224 708 NM_000211 709 NM_000181 710 NM_000177 711 NM_000125 712 NM_000120 713 NM_000118 714 NM_000110 715 NM_000089 716 NM_000088 717 NM_000077 718 NM_000059 719 NM_000043 720 NM_000038 721 M29145 722 EGFRd27 723 Contig47405 724 Contig46653 725 Contig44799 726 BG675392 727 BC000712 728 AL050227 729 AK000618 730 AJ420468 731 AF159141 

1. A method for normalizing data comprising providing a first and a second array comprising between 2 and 12.000 nucleic acid molecules comprising a first and second set of nucleic acid molecules wherein each nucleic acid molecule of said first set comprises a nucleotide sequence that is able to hybridize to a different gene selected from the genes listed in Table 1, wherein said first and said second array comprise an identical first set of nucleic acid molecules, dividing a sample in at least two sub-samples and labeling nucleic acid expression products in a first sub-sample with a first label, and labeling a second sub-sample with a second label different from said first label; contacting said first array with said first sub-sample and determining for each of said nucleic acid molecule of said first set the amount of said first label that is associated therewith; contacting said second array with said second sub-sample and determining for each of said nucleic acid molecule of said first set the amount of second label that is associated therewith; determining from the difference in associated first and second label for each of said first set of nucleic acid molecules a systematic error in the measurements of detected label depending on the amount of said first and said second label that is detected; and correcting at least one value for the detected amount of label associated with at least one nucleic acid on said array for the systematic error.
 2. A method according to claim 1, wherein said nucleic acid for which said value is corrected is a member of said second set of nucleic acid molecules.
 3. A method for normalizing data comprising providing a first and a second array comprising between 2 and 12.000 nucleic acid molecules comprising a first set and a second set of nucleic acid molecules wherein each nucleic acid molecule of said first set comprises a nucleotide sequence that is able to hybridize to a different gene selected from the genes listed in Table 1, wherein said first and said second array comprise an identical first set of nucleic acid molecules; contacting said first array with said first sub-sample and determining for each of said nucleic acid molecule of said first set the amount of said first label that is associated therewith; contacting said second array with said second sub-sample and determining for each of said nucleic acid molecule of said first set the amount of second label that is associated therewith; determining a transformation function for transforming the log10 ratios of the intensities of the detected hybridization signals to zero or approximately zero for expression products of genes listed in Table 1; using the determined transformation function to transform the intensity of the log10 ratios of hybridization signals obtained from nucleic acid molecules belonging to said second set of molecules.
 4. An array, comprising between 2 and 12.000 nucleic acid molecules comprising a first set of nucleic acid molecules wherein each nucleic acid molecule of said first set comprises a nucleotide sequence that is able to hybridize to a different gene selected from the genes listed in Table
 1. 5. The array according to claim 4, wherein the first set of molecules comprises at least five nucleic acid molecules that are able to hybridize to different genes listed in Table
 1. 6. The array of claim 5, wherein said at least five nucleic acid molecules are able to hybridize to genes listed in Table 1 which have the lowest standard deviation and are rank-ordered 1-5.
 7. The array according to claim 4, wherein the first set of molecules comprises at least ten nucleic acid molecules that are able to hybridize to different genes listed in Table
 1. 8. The array of claim 7, wherein said at least ten nucleic acid molecules are able to hybridize to genes listed in Table 1 which have the lowest standard deviation and are rank-ordered 1-10.
 9. The array according to claim 4, wherein the first set of molecules comprises at least fifty nucleic acid molecules that are able to hybridize to different genes listed in Table
 1. 10. The array of claim 9, wherein said at least fifty nucleic acid molecules are able to hybridize to genes listed in Table 1 which have the lowest standard deviation and are rank-ordered 1-50.
 11. The array according to claim 4, wherein the first set of molecules comprises at least 465 nucleic acid molecules that are able to hybridize to different genes listed in Table
 1. 12. The array of claim 11, wherein said at least 465 nucleic acid molecules are able to hybridize to genes listed in Table 1 which have the lowest standard deviation and are rank-ordered 1-465.
 13. The array according to claim 4, wherein the first set of molecules comprises at least 915 nucleic acid molecules that are able to hybridize to different genes listed in Table
 1. 14. The array according to claim 4, wherein the first set of molecules comprises nucleic acid molecules selected from at least two different intensity groups as depicted in Table
 1. 15. The array according to claim 14, wherein said nucleic acid molecules are able to hybridize to genes listed in Table 1 which have the lowest standard deviation in each of said at least two intensity groups.
 16. The array according to claim 4, wherein the first set of molecules comprises nucleic acid molecules selected from all five intensity groups as depicted in Table
 1. 17. The array according to claim 16, wherein said nucleic acid molecules are able to hybridize to genes listed in Table 1 which have the lowest standard deviation in each of said five intensity groups.
 18. The array according to claim 4, further comprising a second set of nucleic acid molecules.
 19. The array according to claim 18, wherein the second set of nucleic acid molecules comprises nucleic acid molecules capable of hybridizing to nucleic acid molecules that are expressed in samples of breast tissue.
 20. The array according to claim 19, wherein the second set of nucleic acid molecules comprises at least five nucleotide sequences capable of hybridizing to nucleic acid molecules that are expressed in breast samples and that are selected from Table
 2. 21. The array according to claim 19, wherein the second set of nucleic acid molecules comprises at least five nucleotide sequences capable of hybridizing to nucleic acid molecules selected from Table
 3. 22. The array according to claim 4, comprising a total of 1900 molecules.
 23. The array according to claim 4, that is printed in multiple identical regions on a slide.
 24. The array according to claim 23, that is printed in eight identical regions on a slide.
 25. A method for producing an array comprising producing an array according to claim
 4. 26. The method according to claim 25, further comprising immobilizing said first set of nucleic acid molecules on a support.
 27. A sample container comprising an RNA protecting agent and a human biopsy, the sample container being stored in a plastic envelope, the envelope further comprising written sampling instructions and a punch.
 28. A method for detecting and/or staging of a disease comprising: providing an array according to claim 4; contacting said array with a sample comprising expression products from cells of a patient; detecting hybridization of said expression products to nucleic acid molecules of said array to provide an expression profile; comparing said hybridization with the hybridization of at least one reference sample to a similar array.
 29. A method for classifying the presence and/or stage of a disease, comprising: providing an array according to claim 4; contacting said array with a sample comprising expression products from cells of a patient; detecting hybridization of said expression products to nucleic acid molecules of said array to provide an expression profile; comparing said expression profile with the expression profile of at least one reference sample to a similar array; and classifying the presence and/or stage of a disease on the basis of the comparison of the expression profile.
 30. A method for prognosing the risk of distant metastasis of breast cancer, comprising providing an array according to claim 4; contacting said array with a sample comprising expression products from cells of a patient; detecting hybridization of said expression products to nucleic acid molecules of said array; comparing said hybridization with the hybridization of at least one reference sample to a similar array; classifying said patient as having a first prognosis or a second prognosis on the basis of the comparison with the hybridization of at least one reference sample.
 31. A method for assigning treatment to a breast cancer patient, comprising: the method for prognosing the risk of distant metastasis of breast cancer of claim 30; and assigning treatment to the patient based on the prognosis.
 32. The use of an array according to claim 4 for obtaining an expression profile.
 33. The use according to claim 32, for obtaining an expression profile of a human patient.
 34. The use according to claim 33, for obtaining an expression profile of a human breast cancer patient.
 35. The use of an array according to claim 4 in a process for classifying the presence and/or stage of a disease. 